Engineering › Ocean Engineering

Satellite Image Processing and Photogrammetry

Works Count: 314560

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Description

This cluster of papers focuses on the geometric processing and accuracy assessment of remote sensing imagery, particularly from high-resolution satellite sensors. Topics include rational function models, orthorectification, DEM generation, sensor calibration, and geopositioning accuracy.

Keywords

Remote Sensing; Geometric Processing; Satellite Imagery; High-Resolution Sensors; Rational Function Model; Orthorectification; DEM Generation; Sensor Calibration; Stereo Imagery; Geopositioning Accuracy

Acquisition of high resolution three-dimensional models using free, open-source, photogrammetric software

2012-01-01

Peter Falkingham

The 3D digitisation of palaeontological resources is of tremendous use to the field, providing the means to archive, analyse, and visualise specimens that would otherwise be too large to handle, … The 3D digitisation of palaeontological resources is of tremendous use to the field, providing the means to archive, analyse, and visualise specimens that would otherwise be too large to handle, too valuable to destructively sample, or simply in a different geographic location.Digitisation of a specimen to produce a 3D digital model often requires the use of expensive laser scanning equipment or proprietary digital reconstruction software, making the technique inaccessible to many workers.Presented here is a guide for producing high resolution 3D models from photographs, using freely available open-source software.To demonstrate the accuracy and flexibility of the approach, a number of examples are given, including a small trilobite (~0.04 m), a large mounted elephant skeleton (~3 m), and a very large fossil tree root system (~6 m), illustrating that the method is equally applicable to specimens or even outcrops of all sizes.The digital files of the models produced in this paper are included.The results demonstrate that production of digital models from specimens for research or archival purposes is available to anyone, and it is hoped that an increased use of digitisation techniques will facilitate research and encourage collaboration and dissemination of digital data.

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ON PHOSPHOTUNGSTIC-PHOSPHOMOLYBDIC COMPOUNDS AS COLOR REAGENTS

1912-08-01

Otto Folin , W. Denis

Elements of Photogrammetry(with Applications in GIS)

2000-02-01

Bon Dewitt , Paul R. Wolf

From the Publisher: The first new edition in 13 years incorporates recent changes on the subject of streamlining from advances in computers. Their ever increasing speed and storage capabilities have … From the Publisher: The first new edition in 13 years incorporates recent changes on the subject of streamlining from advances in computers. Their ever increasing speed and storage capabilities have directly led to an entire new approach in photogrammetric mapping known as Soft-Copy photogrammetry. Digital Imaging systems,including those used in modern satellite programs,scanners for digitizing photographic images,and digital image processing techniques are new topics to be covered that are fundamental to soft copy photogrammetry.

The use of intensity-hue-saturation transformations for merging SPOT panchromatic and multispectral image data

1990-01-01

W. J. Carper

Geometric invariance in computer vision

1992-08-21

Joseph L. Mundy , Andrew Zisserman

Part 1 Foundations: algebraic invariants - invariant theory and enumerative combinatorics of young tableaux, Shreeram S. Abhyankar, geometric interpretation of joint conic invariants, Joseph L. Mundy, et al, an experimental … Part 1 Foundations: algebraic invariants - invariant theory and enumerative combinatorics of young tableaux, Shreeram S. Abhyankar, geometric interpretation of joint conic invariants, Joseph L. Mundy, et al, an experimental evaluation of projective invariants, Christopher Coelho, et al the projection of two non-coplanar conics, Stephen J. Maybank the non-existence of general-case view-invariants, J. Brian Burns, et al invariants of non-algebraic curves - noise resistant invariants of curves, Isaac Weiss, semi-differential invariants, Luc J. Van Gool, et al, projective invariants for curves in two and three dimensions, Michael H. Brill, et al, numerical evaluation of differential and semi-differential invariants, Christopher Brown, recognizing general curved objects efficiently, Andrew Zisserman, et al fitting affine invariant conics to curves, Deepak Kapur and Joseph L. Mundy, projectively invariant decomposition of planar shapes, Stefan Carlsson invariants from multiple views - invariant linear methods in photogrammetry and model-matching, Eamon B. Barrett, et al semi-differential invariants for nonplanar curves, Luc J. Van Gool, et al disambiguating stereo matches with spatio-temporal surfaces, Olivier Faugeras and Theo Papadopoulo. Part 2 Applications: transformation invariant indexing, Haim J. Wolfson and Yehezkel Lamdan affine invariants for model-based recognition, John E. Hopcroft, et al object recognition based on moment (or algebraic) invariants, Gabriel Taubin and David B. Cooper fast recognition using algebraic invariants, Charles A. Rothwell, et al toward 3D curved object recognition from image contours, Jean Ponce and David J. Kriegman relative positioning with uncalibrated cameras, Roger Mohr, et al. Appendix: projective geometry for machine vision, Joseph L. Mundy and Andrew Zisserman.

Geometric modeling for computer vision.

1974-01-01

Bruce G. Baumgart

Abstract : The main contribution of this thesis is the development of a three dimensional geometric modeling system for application to computer vision. In computer vision geometric models provide a … Abstract : The main contribution of this thesis is the development of a three dimensional geometric modeling system for application to computer vision. In computer vision geometric models provide a goal for descriptive image analysis, an origin for verification image synthesis, and a context for spatial problem solving. Some of the design ideas presented have been implemented in two programs named GEOMED and CRE; the programs are demonstrated in situations involving camera motion relative to a static world.

Remote sensing: the image chain approach

2007-10-01

John R. Schott

1. Introduction 2. Historical Perspective and photo Mensuration 3. Radiometry and radiation Propagation 4. The Governing Equation for Radiance Reaching the Sensor 5. Sensors 6. Atmospheric Calibration - Solutions to … 1. Introduction 2. Historical Perspective and photo Mensuration 3. Radiometry and radiation Propagation 4. The Governing Equation for Radiance Reaching the Sensor 5. Sensors 6. Atmospheric Calibration - Solutions to the Governing Equation 7. Digital Imaging Processing for Image Exploitation 8. Information Dissemination 9. Weak Links in the Chain 10. Image Modeling

Remote sensing — Principles and interpretation

1979-08-01

Duncan G. Murchison

The Sloan Digital Sky Survey Photometric System

1996-04-01

M. Fukugita , Takashi Ichikawa , James E. Gunn +3 more

This paper describes the Sloan Digital Sky Survey photometric system, a new five-color (u‧ g‧ r‧ i‧ z‧) wide-band CCD system with wavelength coverage from 3000 to 11 000 Å. … This paper describes the Sloan Digital Sky Survey photometric system, a new five-color (u‧ g‧ r‧ i‧ z‧) wide-band CCD system with wavelength coverage from 3000 to 11 000 Å. The zero points will be based on an updated version of the spectrophotometric AB<SUB>v</SUB> system. This updated calibration, designated as AB<SUB>95</SUB>, is presented in this paper.

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Dasymetric Mapping and Areal Interpolation: Implementation and Evaluation

2001-01-01

Cory Eicher , Cynthia A. Brewer

Abstract Dasymetric maps display statistical data in meaningful spatial zones. Such maps can be preferable to choropleth maps that show data by enumeration zones, because dasymetric zones more accurately represent … Abstract Dasymetric maps display statistical data in meaningful spatial zones. Such maps can be preferable to choropleth maps that show data by enumeration zones, because dasymetric zones more accurately represent underlying data distributions. Though dasymetric mapping has existed for well over a century, the methods for producing these maps have not been thoroughly examined. In contrast, research on areal interpolation has been more thorough and has examined methods of transferring data from one set of map zones to another, an issue that is applicable to dasymetric mapping. Inspired by this work, we tested five dasymetric mapping methods, including methods derived from work on areal interpolation. Dasymetric maps of six socio-economic variables were produced fm a study area of 159 counties in the eastern U.S. using county choropleth data and ancillary land-use data. Both polygonal (vector) and grid (raster) dasymetric methods were tested. We evaluated map accuracy using both statistical analyses and visual presentations of error. A repeated-measures analysis of variance showed that the traditional limiting variable method had significantly lower error than the other four methods. In addition, polygon methods had lower error than their grid-based counterparts, though the difference was not statistically significant. Error maps largely supported the conclusions from the statistical analysis, while also presenting patterns of error that were not obvious from the statistics. Keywords: DASYMETRIC MAPPINGAREAL INTERPOLATIONMAPPING CENSUS DATAMAP ERROR

DIGITAL IMAGE CORRELATION: PERFORMANCE AND POTENTIAL APPLICATION IN PHOTOGRAMMETRY

1984-10-01

F. Ackermann

Abstract A procedure for digital image correlation is described which is based on least squares window matching. The immediate aim is high precision parallax assessment, point transfer, and point measurement. … Abstract A procedure for digital image correlation is described which is based on least squares window matching. The immediate aim is high precision parallax assessment, point transfer, and point measurement. Experiments and theory have confirmed the high accuracy potential of the method. By implementation of charge coupled device (CCD) video cameras in an analytical plotter, an experimental hardware and software configuration has been established with which the operational on line application of digital image correlation for conventional photogrammetric measuring tasks can be tested. First results of calibration and performance of the system are presented. They allow optimistic conclusions as to the further development and practical application of digital image processing in photogrammetry.

Bias Compensation in Rational Functions for Ikonos Satellite Imagery

2003-01-01

Clive S. Fraser , Harry B. Hanley

A method for the removal of exterior orientation biases in rational function coefficients (RPCs) for Ikonos imagery is developed. These biases, which are inherent in RPCs derived without the aid … A method for the removal of exterior orientation biases in rational function coefficients (RPCs) for Ikonos imagery is developed. These biases, which are inherent in RPCs derived without the aid of ground control, give rise to geopositioning errors. The 3D positioning error can subsequently be compensated during spatial intersection by two additional parameters in image space that effect a translation of image coordinates. The resulting bias parameters can then be used to correct the RPCs supplied with Ikonos Geo imagery such that a practical means is provided for bias-free ground point determination, nominally to meter-level absolute accuracy, using entirely standard procedures on any photogrammetric workstation that supports Ikonos RPCs. The method requires provision of one or more ground control points. Aside from developing the bias compensation method, the paper also summarizes practical testing with bias-corrected RPCs that has demonstrated sub-meter geopositioning accuracy from Ikonos Geo imagery.

Automated stereo-photogrammetric DEM generation at high latitudes: Surface Extraction with TIN-based Search-space Minimization (SETSM) validation and demonstration over glaciated regions

2015-02-19

Myoung‐Jong Noh , I. M. Howat

Digital elevation models (DEMs) are critical to a wide range of geoscience investigations. High-latitude and polar regions are particularly challenging for automated, stereo-photogrammetric DEM extraction due to the abundance of … Digital elevation models (DEMs) are critical to a wide range of geoscience investigations. High-latitude and polar regions are particularly challenging for automated, stereo-photogrammetric DEM extraction due to the abundance of surfaces that are low-contrast and repetitively textured, such as snow and shadowed terrain, and have discontinuities such as in crevasse fields, glacier calving faces or iceberg edges. Sub-meter, stereo-mode satellite imagery of high geometric and radiometric quality is becoming increasingly accessible, offering the potential for dramatically increasing the spatial coverage and quality of high-latitude DEMs. Here we demonstrate and validate automated DEMs generated from the Surface Extraction with Triangulated Irregular Network-based Search-space Minimization (SETSM) algorithm designed for these challenging terrains using only the satellite rational polynomial coefficients (RPCs). Comparison between 2-m DEMs created from WorldView image pairs and low-altitude LiDAR point clouds in west Greenland give DEM biases of less than 5 m, which is the maximum systematic RPC error. Co-registration with the LiDAR data reduces the DEM RMS error to ~20 cm, which is comparable to the uncertainty of the LiDAR data. We demonstrate SETSM’s automatic RPC refinement and bias reduction by successfully extracting a high-quality DEM from Pleiades stereo pair images with large RPC errors. Finally, we provide examples of SETSM DEMs that demonstrate their utility for a range of applications of interest to polar scientists.

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The 1 km AVHRR global land data set: first stages in implementation

1994-11-01

Jeffery C. Eidenshink , John L. Faundeen

Abstract The global land 1 km data set project represents an international effort to acquire, archive, process, and distribute 1 km AVHRR data of the entire global land surface in … Abstract The global land 1 km data set project represents an international effort to acquire, archive, process, and distribute 1 km AVHRR data of the entire global land surface in order to meet the needs of the international science community. A network of 26 high resolution picture transmission (HRPT) stations, along with data recorded by the National Oceanic and Atmospheric Administration (NOAA), has been acquiring daily global land coverage since 1 April 1992. A data set of over 30000 AVHRR images has been archived and made available for distribution by the United States Geological Survey, EROS Data Center and the European Space Agency Under the guidance of the International Geosphere Biosphere programme, processing standards for the AVHRR data have been developed for calibration, atmospheric correction, geometric registration, and the production of global 10-day maximum normalized difference vegetation index (NDVI) composites. The major uses of the composites are related to the study of surface vegetation cover. A prototype 10-day composite was produced for the period of 21–30 June 1992. Production of an 18-month time series of 10-day composites is underway. Work performed under U.S. Geological Survey contract 1434-92-C-40004. Notes Work performed under U.S. Geological Survey contract 1434-92-C-40004.

Review article Synergy in remote sensing-what's in a pixel?

1998-01-01

A. P. Cracknell

We address various questions that arise from the fact that a pixel or the related instantaneous field-of-view (IFOV) on the ground is often larger than we would like it to … We address various questions that arise from the fact that a pixel or the related instantaneous field-of-view (IFOV) on the ground is often larger than we would like it to be.The problems arise as a penalty imposed by technology for the fact that a spacecraft gives an overview of a very large area. We study the question of why the pixel size is important when one studies satellite imagery and also some questions related to the factors that contribute to the recorded signal in a remotely-sensed data set. This includes a discussion of the instantaneous field-of-view, both from the simple geometrical point of view and from a more physical point of view. It also involves a study of the point spread function and some discussion of the problems associated with the determination of the point spread function of a given scanner. The questions of the calibration of the detectors in an instrument and of the intercalibration of nominally identical members of a series of instruments are also considered. The integration of remotely-sensed data into a GIS almost inevitably involves resampling and this leads to further complications in understanding the origin of the signal (digital number, DN) associated with a given pixel. The effects of different methods of interpolation are considered as well as the consequences of resampling in relation to the classification of an image. Several other topics are also considered and these include (a) the achievement of geometrical rectification with an error substantially smaller than (e.g., only 20 per cent of) the length of the edge of the instantaneous field-of-view, (b) data compression or upscaling, (c) mixed pixels, and (d) the study of sub-IFOV size objects. The general conclusion is that it is important to realise that what contributes to producing the digital number on a computer tape or in a disk file of an image is not a simple thing. There is no simple answer to the question 'what exactly gives rise to the signal detected and recorded in a pixel in a remotely-sensed image?' The main point to be made is to try to ensure that it is realised that there is a problem and to give some indication of the nature of that problem.

Automatic and Precise Orthorectification, Coregistration, and Subpixel Correlation of Satellite Images, Application to Ground Deformation Measurements

2007-06-01

S. Leprince , Sylvain Barbot , Franois Ayoub +1 more

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> We describe a procedure to accurately measure ground deformations from optical satellite images. Precise orthorectification is obtained owing to an optimized model of the imaging system, where … <para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> We describe a procedure to accurately measure ground deformations from optical satellite images. Precise orthorectification is obtained owing to an optimized model of the imaging system, where look directions are linearly corrected to compensate for attitude drifts, and sensor orientation uncertainties are accounted for. We introduce a new computation of the inverse projection matrices for which a rigorous resampling is proposed. The irregular resampling problem is explicitly addressed to avoid introducing aliasing in the ortho-rectified images. Image registration and correlation is achieved with a new iterative unbiased processor that estimates the phase plane in the Fourier domain for subpixel shift detection. Without using supplementary data, raw images are wrapped onto the digital elevation model and coregistered with a 1/50 pixel accuracy. The procedure applies to images from any pushbroom imaging system. We analyze its performance using Satellite pour l'Observation de la Terre (SPOT) images in the case of a null test (no coseismic deformation) and in the case of large coseismic deformations due to the Mw 7.1 Hector Mine, California, earthquake of 1999. The proposed technique would also allow precise coregistration of images for the measurement of surface displacements due to ice-flow or geomorphic processes, or for any other change detection applications. A complete software package, the Coregistration of Optically Sensed Images and Correlation, is available for download from the Caltech Tectonics Observatory website. </para>

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A simple positional accuracy measure for linear features

1997-04-01

Michael F. Goodchild , Gary J. Hunter

Abstract In this paper we propose a simple technique for assessing the positional accuracy of digitized linear features. The approach relies on a comparison with a representation of higher accuracy, … Abstract In this paper we propose a simple technique for assessing the positional accuracy of digitized linear features. The approach relies on a comparison with a representation of higher accuracy, and estimates the percentage of the total length of the low accuracy representation that is within a specified distance of the high accuracy representation. The approach deals successfully with three deficiencies of other methods: it is statistically based; is relatively insensitive to extreme outliers; and does not require matching of points between representations. It can be implemented using standard functions and a standard scripting language in any raster or vector GIS. We present the results of a test using data from the Digital Chart of the World.

Introducing GOES-I: The First of a New Generation of Geostationary Operational Environmental Satellites

1994-05-01

W. Paul Menzel , James F. W. Purdom

In the spring of 1994, the first of the National Oceanic and Atmospheric Administration's (NOAA's) next generation of geostationary satellites, GOES-I, is scheduled for launch. The introduction of this major … In the spring of 1994, the first of the National Oceanic and Atmospheric Administration's (NOAA's) next generation of geostationary satellites, GOES-I, is scheduled for launch. The introduction of this major component of NOAA's modernization represents a significant advance in geostationary remote sensing. All major components of the GOES-I system are new or greatly improved: 1) the satellite is earth oriented to improve instrument performance; 2) sounding and imaging operations are now performed by different and separate instruments; 3) a five-band multispectral radiometer with higher spatial resolution improves imaging capabilities; 4) a sounder with higher radiometric sensitivity enables operational temperature and moisture profile retrieval from geostationary altitude for the first time; 5) a different data format is used to retransmit raw data to directreceive users; and 6) a new ground data processing system handles the high data volume and distributes advanced products to a variety of users. This article describes the features of the GOES-I spacecraft and instruments, imaging and sounding schedules, data handling systems, and remote sensing products. Simulations of GOES-I imager and sounder products are presented and compared with GOES-7 products. The simulations show that GOES-I imagery, derived product images, and sounder products should be significant improvements in both frequency of coverage and accuracy.

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Review article: Geometric processing of remote sensing images: models, algorithms and methods

2004-04-02

Thierry Toutin

The geometric processing of remote sensing images becomes a key issue in multi-source data integration, management and analysis for many geomatic applications. This paper first reviews the source of geometric … The geometric processing of remote sensing images becomes a key issue in multi-source data integration, management and analysis for many geomatic applications. This paper first reviews the source of geometric distortions, compares the different mathematical models being currently used for geometric distortion modelling, details the algorithms, methods and processing steps and finally tracks the error propagation from the input to the final output data.

Introduction to Remote Sensing

2003-08-27

A. E. Caldwell

Satellite Altimetry and Earth Sciences: A Handbook of Techniques and Applications

2001-08-21

Richard Coleman

Satellite altimetry is not new. The first measurements were made from Skylab in 1973. However, altimetry has blossomed since the early 1990s, especially with results from the TOPEX/Poseidon altimeter mission, … Satellite altimetry is not new. The first measurements were made from Skylab in 1973. However, altimetry has blossomed since the early 1990s, especially with results from the TOPEX/Poseidon altimeter mission, which began in 1992 and continues today. Few people missed seeing altimeter‐derived images or movies of the El Niñno/La Niña events in the late 1990s on television newscasts, though many may not have realized the source.

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Block Adjustment of High-Resolution Satellite Images Described by Rational Polynomials

2003-01-01

Jacek Grodecki , Gene Dial

model provides a rigorous, accurate method to block adjust This paper describes how to block adjust high-resolution Ikonos data outside of the ground stations. satellite imagery described by Rational Polynomial … model provides a rigorous, accurate method to block adjust This paper describes how to block adjust high-resolution Ikonos data outside of the ground stations. satellite imagery described by Rational Polynomial Coefficient This publication of a technique for block adjusting Ikonos (RPC) camera models and illustrates the method with an Ikonos images described by RPC data is motivated by a desire to satisfy example. By incorporating a priori constraints into the the needs of those users who would like to perform their own adjustment model, multiple independent images can be block adjustment, and to ensure that Ikonos images are proadjusted with or without ground control. The RPC block cessed in such way as to consistently achieve the highest possiadjustment model presented in this paper is directly related ble accuracy. In developing the adjustment model described to geometric properties of the physical camera model. Multiple here, the authors had access to the complete description of physical camera model parameters having the same net effect Ikonos imaging geometry, familiarity with all of the satellite on the object-image relationship are replaced by a single maneuvering modes, the resources of extensive test ranges and adjustment parameter. Consequently, the proposed method is imagery with which to test and validate, and the experience numerically more stable than the traditional adjustment of gained calibrating, testing, and troubleshooting Ikonos metric exterior and interior orientation parameters. This method is projects. generally applicable to any photogrammetric camera with a narrow field of view, calibrated, stable interior orientation, and Physical Camera Models accurate a priori exterior orientation data. As demonstrated Owing to the dynamic nature of satellite image collection, phoin the paper, for Ikonos satellite imagery, the RPC block togrammetric processing of satellite imagery is more compliadjustment achieves the same accuracy as the ground station cated than is aerial frame camera processing. Aerial cameras block adjustment with the full physical camera model. acquire the entire image at an instant of time with a unique exposure station and orientation. High-resolution pushbroom Background satellite cameras, including Ikonos, use linear sensor arrays

Shadow Analysis in High-Resolution Satellite Imagery of Urban Areas

2005-02-01

Paul Dare

High-resolution satellite imagery (HRSI) offers great possibilities for urban mapping. Unfortunately, shadows cast by buildings in high-density urban environments obscure much of the information in the image leading to potentially … High-resolution satellite imagery (HRSI) offers great possibilities for urban mapping. Unfortunately, shadows cast by buildings in high-density urban environments obscure much of the information in the image leading to potentially corrupted classification results or blunders in interpretation. Although significant research has been carried out on the subject of shadowing in remote sensing, very few studies have focused on the particular problems associated with high-resolution satellite imaging of urban areas. This paper reviews past and current research and proposes a solution to the problem of automatic detection and removal of shadow features. Tests show that although detection and removal of shadow features can lead to improved image quality, results can be image-dependent.

Precise Global DEM Generation by ALOS PRISM

2014-04-23

Takeo Tadono , H. Ishida , F. Oda +3 more

Abstract. The Japan Aerospace Exploration Agency (JAXA) generated the global digital elevation/surface model (DEM/DSM) and orthorectified image (ORI) using the archived data of the Panchromatic Remote-sensing Instrument for Stereo Mapping … Abstract. The Japan Aerospace Exploration Agency (JAXA) generated the global digital elevation/surface model (DEM/DSM) and orthorectified image (ORI) using the archived data of the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) onboard the Advanced Land Observing Satellite (ALOS, nicknamed "Daichi"), which was operated from 2006 to 2011. PRISM consisted of three panchromatic radiometers that acquired along-track stereo images. It had a spatial resolution of 2.5 m in the nadir-looking radiometer and achieved global coverage, making it a suitable potential candidate for precise global DSM and ORI generation. In the past 10 years or so, JAXA has conducted the calibration of the system corrected standard products of PRISM in order to improve absolute accuracies as well as to validate the high-level products such as DSM and ORI. In this paper, we introduce an overview of the global DEM/DSM dataset generation project, including a summary of ALOS and PRISM, in addition to the global data archive status. It is also necessary to consider data processing strategies, since the processing capabilities of the level 1 standard product and the high-level products must be developed in terms of both hardware and software to achieve the project aims. The automatic DSM/ORI processing software and its test processing results are also described.

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Horizontal Positional Accuracy of Google Earth’s High-Resolution Imagery Archive

2008-12-08

David Potere

Google Earth now hosts high-resolution imagery that spans twenty percent of the Earth's landmass and more than a third of the human population. This contemporary highresolution archive represents a significant, … Google Earth now hosts high-resolution imagery that spans twenty percent of the Earth's landmass and more than a third of the human population. This contemporary highresolution archive represents a significant, rapidly expanding, cost-free and largely unexploited resource for scientific inquiry. To increase the scientific utility of this archive, we address horizontal positional accuracy (georegistration) by comparing Google Earth with Landsat GeoCover scenes over a global sample of 436 control points located in 109 cities worldwide. Landsat GeoCover is an orthorectified product with known absolute positional accuracy of less than 50 meters root-mean-squared error (RMSE). Relative to Landsat GeoCover, the 436 Google Earth control points have a positional accuracy of 39.7 meters RMSE (error magnitudes range from 0.4 to 171.6 meters). The control points derived from satellite imagery have an accuracy of 22.8 meters RMSE, which is significantly more accurate than the 48 control-points based on aerial photography (41.3 meters RMSE; t-test p-value < 0.01). The accuracy of control points in more-developed countries is 24.1 meters RMSE, which is significantly more accurate than the control points in developing countries (44.4 meters RMSE; t-test p-value < 0.01). These findings indicate that Google Earth highresolution imagery has a horizontal positional accuracy that is sufficient for assessing moderate-resolution remote sensing products across most of the world's peri-urban areas.

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Spatial Registration of Multispectral and Multitemporal Digital Imagery Using Fast Fourier Transform Techniques

1970-10-01

P. E. Anuta

A system for spatial registration of digitized multispectral and multitemporal imagery is described. Multispectral imagery can be obtained from sources such as multilens cameras, multichannel optical-mechanical line scanners, or multiple … A system for spatial registration of digitized multispectral and multitemporal imagery is described. Multispectral imagery can be obtained from sources such as multilens cameras, multichannel optical-mechanical line scanners, or multiple vidicon systems which employ filters or other spectral separation techniques to sense selected portions of the spectrum. Spatial registration is required so that multidimensional analysis can be performed on contextually similar image elements from different wavelength bands and at different times. The general registration problem is discussed first; then the fast Fourier transform (FFT) technique for cross correlation of misregistered imagery to determine spatial distances is discussed in detail. A method of achieving translational, rotational, and scaling corrections between images is described. Results of correlation analysis of multispectral scanner imagery and digitized satellite photography is presented. Use of the system for registration of multispectral airborne line-scanner imagery and space photography is described. Application of the techniques to preprocessing of earth resources satellite imagery from systems such as the earth-resources technology satellite (ERTS) scanner and vidicon system is discussed in conclusion.

Sloan Digital Sky Survey: Early data release

2002-01-01

Chris Stoughton , Robert H. Lupton , Mariangela Bernardi +7 more

An automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery

2016-03-25

David Shean , Oleg Alexandrov , Z. M. Moratto +4 more

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Introductory digital image processing: a remote sensing perspective

1986-11-01

Anita Tailor

International Conference on Computer Vision（ICCV '95）

1995-10-01

阿部圭一

Satellite meteorology: an introduction

1996-04-01

Stanley Q. Kidder , Thomas H. Vonder Haar

Introduction: History of Satellite Meteorology. Scope of The Book. Orbits and Navigation: Newton's Laws. Keplerian Orbits. Orbit Perturbations. Meteorological Satellite Orbits. Satellite Positioning, Tracking and Navigation. Space-Time Sampling. Launch Vehicles … Introduction: History of Satellite Meteorology. Scope of The Book. Orbits and Navigation: Newton's Laws. Keplerian Orbits. Orbit Perturbations. Meteorological Satellite Orbits. Satellite Positioning, Tracking and Navigation. Space-Time Sampling. Launch Vehicles and Profiles. Radiative Transfer: Basic Quantities. Blackbody Radiation. The Radiative Transfer Equation. Gaseous Absorption. Scattering. Surface Reflection. Solar Radiation. Meteorological SatelliteInstrumentation: Operational Polar-Orbiting Satellites. Operational Geostationary Satellites. Other Satellite Instruments. Satellite Data Archives. Image Interpretation: Satellite Imagery. Spectral Properties. Image Enhancement Techniques. Geolocation and Calibration. Atmospheric and Surface Phenomena. A Final Note.Temperature and Trace Gases: Sounding Theory. Retrieval Methods. Operational Retrievals. Limb Sounding Retrievals. Ozone and Other Gases. The Split-Window Technique. Winds: Cloud and Vapor Tracking. Winds from Soundings. Ocean Surface Winds. Doppler Wind Measurements. Clouds and Aerosols: Clouds from Sounders. Clouds from Imagers. Clouds from Microwave Radiometry. Stratospheric Aerosols. Tropospheric Aerosols. Precipitation: Visible and Infrared Techniques. Passive Microwave Techniques. Radar. Severe Thunderstorms. Earth Radiation Budget: The Solar Constant. Top of the Atmosphere Radiation Budget. Surface Radiation Budget. The Future: NOAA K, L, M.Mission to Planet Earth. Other Possibilities. A Final Comment. Appendixes: List of Meteorological Satellites. Abbreviations. Principal Symbols. Systeme International Units. Physical Constants. Subject Index.

Multi-View Stereo: A Tutorial

2015-01-01

Yasutaka Furukawa , Carlos Hernández

Remote Sensing Digital Image Analysis

1999-01-01

John A. Richards , Xiuping Jia

Contributions to the theory of atmospheric refraction

1972-09-01

J. Saastamoinen

Exploratory and confirmatory tests of the Big Five and Tellegen's three- and four-dimensional models.

1994-01-01

A. Timothy Church , Peter J. Burke

Digital image processing

1980-05-01

P. W. Hawkes

Remote Sensing Digital Image Analysis

2012-09-07

John A. Richards

Remote Sensing Digital Image Analysis

1993-01-01

John A. Richards

Remote Sensing Digital Image Analysis

1986-01-01

John A. Richards

TriM-SOD: A Multi-modal, Multi-task, and Multi-scale Spacecraft Optical Dataset

2025-06-18

Tianyu Zhu , Hesong Li , Ying Fu | Space Science & Technology

Improving the estimation of the spherical equivalent subjective refraction using objective information on accommodation

2025-06-16

Aina Turull-Mallofré , Mikel Aldaba , Jaume Pujol +1 more | Biomedical Optics Express

The Role of Orientation and Calibration in Photogrammetry and Remote Sensing: Preface to the European Calibration and Orientation Workshop - EuroCOW 2025

2025-06-16

K. Bakuła , M. Pilarska , Wojciech Ostrowski | The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Abstract. This paper is a preface to the European Calibration and Orientation Workshop - EuroCOW 2025, held at the Warsaw University of Technology on 16–18 June 2025. The paper briefly … Abstract. This paper is a preface to the European Calibration and Orientation Workshop - EuroCOW 2025, held at the Warsaw University of Technology on 16–18 June 2025. The paper briefly introduces the history of EuroCOW workshops and shows orientation and calibration issues in photogrammetry and remote sensing based on the literature. The first part of the paper is a bibliographic analysis based on queries in the Scopus database, which shows a continuous interest in research activities based on calibration and orientation data, and the impact of those issues on communication channels, including the ISPRS Archives. The second part summarises abstract submissions presented during the workshop, showing their topics. The EuroCOW workshop was revived after a 6-year gap since its last organisation. This branded workshop has been organised by a dedicated working group of ISPRS and supported by EuroSDR for many years. Organisers hope that this activity will be continued in future.

Orientation of ambiguous image sequences with similar and repeated structures

2025-06-16

Giulio Perda , Luca Morelli , Fabio Remondino | The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Abstract. Image orientation, nowadays called Structure from Motion (SfM), is still an open research topic in particular in case of scenes featuring visual aliasing, or doppelgangers. Indeed, visually similar but … Abstract. Image orientation, nowadays called Structure from Motion (SfM), is still an open research topic in particular in case of scenes featuring visual aliasing, or doppelgangers. Indeed, visually similar but distinct elements of the scene can cause incorrect matches, not detected by geometric or learning-based outliers removal methods, leading to misplaced camera poses and wrong 3D reconstructions. The paper reviews various state-of-the-art approaches to orient ambiguous image sequences and determination correct camera orientation parameters. We also present an in-house graph-based approach to reliably and precisely orient sets of images with doppelgangers. Different experiments on common ambiguous datasets are reported and commented.

Combining Galileo’s HAS and the E5 AltBOC signal for terrestrial mobile mapping

2025-06-16

M. Berbel , Guillem Sans , M. Blázquez +1 more | The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Abstract. We discuss the precision and multipath robustness properties of the Galileo E5 AltBOC signal, the Galileo High Accuracy Service (HAS) for Galileo and GPS, and the potential advantages of … Abstract. We discuss the precision and multipath robustness properties of the Galileo E5 AltBOC signal, the Galileo High Accuracy Service (HAS) for Galileo and GPS, and the potential advantages of combining HAS with the E5 AltBOC ranging signals in view of the current HAS corrections being limited to the E1, E5a and E5b signals. For this purpose we analyse the behaviour of HAS for static positioning in ideal conditions and by just using pseudo-range measurements. We do this for the conventional E1/E5a HAS combination and for the E1/E5 AltBOC one using a simple rough approximation of the future E5 AltBOC HAS corrections (HAS pseudo-corrections for E5 AltBOC). This provides initial insight and shows how the E5 AltBOC measurements benefit from the pseudo-corrections. We then proceed analogously with kinematic measurements in a urban environment. We conclude by recommending that HAS be extended to provide corrections for the E5 AltBOC signals.

A status quo in aerial photogrammetric mapping

2025-06-16

Fabio Remondino , Marc Muick , Michael Cramer +2 more | The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Abstract. Aerial photogrammetric 3D mapping refers to the process of capturing overlapping imagery - and increasingly, LiDAR data - via aerial platforms such as unmanned and manned aircraft, followed by … Abstract. Aerial photogrammetric 3D mapping refers to the process of capturing overlapping imagery - and increasingly, LiDAR data - via aerial platforms such as unmanned and manned aircraft, followed by computational processing to generate precise 3D representations of urban environments, infrastructure and natural landscapes. In recent years, the field has undergone significant transformation, driven by advancements in imaging technology, including larger and more sensitive sensors, the deployment of multi-camera systems and the integration of photogrammetry with LiDAR. These developments have been accompanied by increasing automation in feature detection, semantic segmentation and both 2D and 3D object classification. This paper aims to provide a critical review of the current state-of-the-art in sensor technologies and multi-sensor integration strategies. It highlights key technological innovations and evolving methodologies that are reshaping aerial 3D mapping practices and influencing both industry standards and market dynamics.

Perspective Projection of an Ellipse and an Ellipsoid for Analytical View Factor Evaluation

2025-06-13

Kaname Sasaki | Heat Transfer

ABSTRACT Radiative view factors are fundamental quantities for evaluating radiative heat transfer between different surfaces. While analytical expressions of view factors have been evaluated for various types of basic geometries, … ABSTRACT Radiative view factors are fundamental quantities for evaluating radiative heat transfer between different surfaces. While analytical expressions of view factors have been evaluated for various types of basic geometries, including circular disks and spheres, extending these solutions to more complex geometries, such as ellipses and ellipsoids has remained challenging due to mathematical complexity. This study evaluates the analytical view factor expressions of an ellipse and a triaxial ellipsoid from a plate element in an arbitrary position and orientation. The proposed analytical methods generalize the existing analytical solutions for disk and sphere related geometries, and extend their applicability to more complex geometrical configurations. For both cases, the perspective projection of the target geometry is analyzed, and the original view factor is transformed into an equivalent ellipse view factor, which has known analytical solutions from the previous study. Finally, the derived view factor expressions are validated by comparison with the numerical results.

Cross-view geo-localization with panoramic street-view and VHR satellite imagery in decentrality settings

2025-06-03

Panwang Xia , Lei Yu , Yi Wan +7 more | ISPRS Journal of Photogrammetry and Remote Sensing

Comparison of Fender Dimensions, PIANC WG211, and PIANC WG33

2025-05-29

Alfred Roubos , Rune Iversen , Jeff Oskamp +1 more | Ports 2022

Accuracy Assessment of Open-Source DEM: A Case for Nepal

2025-05-28

Tanka Prasad Dahal , Susheel Dangol | Nepalese journal of geoinformatics/Journal of geoinformatics Nepal

Digital representation of the earth topography is called Digital Elevation Model (DEM). DEMs are very useful for disaster assessment, 3D modelling, infrastructure planning and other development activities. There are various … Digital representation of the earth topography is called Digital Elevation Model (DEM). DEMs are very useful for disaster assessment, 3D modelling, infrastructure planning and other development activities. There are various satellite systems providing the DEMs with different spatial resolution freely. This study assesses the reliability of the freely available DEMs while using those data for decision making. Reference elevation point data are taken from the topographical base map of the respective area. Statistical calculation was carried out for the testing reliability of the data. Root Mean Square Error (RMSE), Standard Deviation and Mean deviation are calculated to conduct the accuracy assessment. From the study, it is seen that, ALOS PRISM DEM of 30m resolution gave the precise result based on RMSE with the value of 5.9m in comparison to other five DEMs used in this study.

SIF: Satellite Image Fusion for Deforestation Analysis in the Amazon Using S-1 and S-2 Data for LULC Applications

2025-05-26

Priyanka Darbari , Ankush Agarwal , Manoj Kumar

Deforestation is the purpose of converting forest into land and reforestation compared to deforestation is very low. That’s why closely and accurately deforestation monitoring using Sentinel-1 and Sentinel-2 satellite images … Deforestation is the purpose of converting forest into land and reforestation compared to deforestation is very low. That’s why closely and accurately deforestation monitoring using Sentinel-1 and Sentinel-2 satellite images for better vision is required. This paper proposes an effective image fusion technique that combines S-1/2 data to improve the deforested areas. Based on review, Optical and SAR image fusion produces high-resolution images for better deforestation monitoring. To enhance the S-1/2 images, preprocessing is needed as per requirements and then, collocation between the two different types of images to mitigate the image registration problem, and after that, apply an image fusion machine learning approach, PCA-Wavelet. As per analysis, PCA helps to maintain spatial resolution, and Wavelet helps to preserve spectral resolution, gives better-fused images compared to other techniques. As per results, 2019 S-2 preprocessed collocated image enhances 42.2508 km2 deforested area, S-1 preprocessed collocated image enhances 23.7918 km2 deforested area, and after fusion of the 2019 S-1/2 images, it enhances 16.5335 km2 deforested area. Similarly, the 2023 S-2 preprocessed collocated image enhances 49.2216 km2 deforested area, S-1 preprocessed collocated image enhances 23.8459 km2 deforested area after fusion of the 2023 S-1/2 images, enhancing 35.9185 km2 deforested area. These improvements show that combining data sources gives a clearer and more reliable picture of forest loss over time. The overall paper objective is to apply effective techniques for image fusion of Brazil's Amazon Forest and analyze the difference between collocated image pixels and fused image pixels for accurate analysis of deforested area.

Correction: AMST2: aggregated multi-level spatial and temporal context-based transformer for robust aerial tracking

2025-05-26

Hasil Park , Injae Lee , Dasol Jeong +1 more

OGAIS: OpenGL-Driven GPU Acceleration Methodology for 3D Hyperspectral Image Simulation

2025-05-25

Xiangyu Li , Wenjuan Zhang , Bowen Wang +3 more

Hyperspectral remote sensing, which can acquire data in both spectral and spatial dimensions, has been widely applied in various fields. However, the available data are limited by factors such as … Hyperspectral remote sensing, which can acquire data in both spectral and spatial dimensions, has been widely applied in various fields. However, the available data are limited by factors such as revisit time, imaging width, and weather conditions. Three-dimensional (3D) hyperspectral simulation based on ray tracing can overcome these limitations by enabling physics-based modeling of arbitrary imaging geometries, solar conditions, and atmospheric effects. This type of simulation offers advantages in acquiring multi-angle and multi-condition quantitative results. However, the 3D hyperspectral simulation requires substantial computational resources. With the development of hardware, a graphics processing unit (GPU) offers a potential way to accelerate it. This paper proposes a 3D hyperspectral simulation model based on GPU-accelerated ray tracing, which is realized by modifying and using a common graphics API (OpenGL). Through experiments, we demonstrate that this model enables 600-band hyperspectral simulation with a computational time of just 2.4 times that of RGB simulation. Furthermore, we analyzed the balance between calculation efficiency and accuracy, and carried out a correlation analysis between ray count and accuracy. Additionally, we verified the accuracy of this model by using UAV-based data. The results demonstrate over 90% spectral curve similarity between simulated and UAV-acquired images. Finally, based on this model, we conducted additional simulation experiments under different environmental variables and observation conditions to analyze the model’s ability to characterize different situations. The results show that the model effectively captures the effects of environmental variables and observation conditions on the hyperspectral characteristics of vehicles.

Universal approach for albedo estimation from multiple fine spatial-resolution satellite data: Preliminary consistency evaluation with Landsat 8, Sentinel-2 and GaoFen-1 albedo data

2025-05-23

Z. Xiang , Tao He , Xin Yang +1 more

Influence of the resolution capacity of digital camera matrices on topographic image accuracy

2025-05-22

Ada Zuska , Oleksandr Yankin , Tatiana Chaika

Based on the principles of using the aerial photography method for land mapping, the most influential factors on its cost are determined in the work. The presented article is of … Based on the principles of using the aerial photography method for land mapping, the most influential factors on its cost are determined in the work. The presented article is of a review and informational nature and presents some studies on the influence of aerial photography equipment on the quality of aerial photographs. The use of modern aerial photography equipment increases the accuracy and quality of images for the production of digital terrain models, relief, orthophotomaps and digital topographic maps and plans. Aerial photography data provides a perspective for solving various problems in the field of geodesy, land management and construction. It should be noted that the quality of the images depends mainly on the resolution of the camera and the device on which they are displayed. The problem with the aerial photography method is its cost, which depends on the parameters of aerial photography, technical characteristics of cameras, software and processing time of aerial photographs. Reducing the cost of aerial photography is currently the most important issue for the customer. The authors found that the main factor influencing the cost of aerial photography is the resolution of the camera. The aim of the work is to determine the optimal types of cameras to reduce the cost of aerial photography without compromising the quality of the digital images. A review of previous publications on the problem has shown that most studies have been devoted to the accuracy of raster images for solving various tasks, and the issue of the cost of aerial photography and the factors affecting it have not been considered at all. The cost of aerial photography is often a source of conflict between the client and the provider. Based on this, we conclude that in the design of aerial photography works, it is necessary to take a practical approach to the choice of the optimal type and resolution of cameras to obtain high quality digital images. The resolution of images must meet legal requirements and ensure the accuracy of digital topographic maps at a standard range of scales. In this way, the resolution of cameras can be combined with quality of images and cost of work, and a customer can adjust a technical task according to their requirements. Technical parameters of a task at the expense of raster image resolution, accuracy and compliance with standards change depending on the tasks set.

Data Processing Chain and Products of EOS-06 OCM-3 Payload from Signal Processing to Geometric Precision

2025-05-20

Ankur Garg , Tushar Dhar Shukla , Sunita Arya +5 more

DEM Generation from Multi-View Satellite Images in Sub-Sahel Region

2025-05-19

Muhammad Abraiz , Elena Belcore , Marco Piras

Abstract. Floods are causing a significant loss of human lives and valuable resources in West Africa. In particular, Niger and Burkina Faso were highly affected areas in past years. In … Abstract. Floods are causing a significant loss of human lives and valuable resources in West Africa. In particular, Niger and Burkina Faso were highly affected areas in past years. In order to predict flood, an accurate Digital elevation model (DEM) is required for flood mapping. At the studied area in Niger, up to this date, the LiDAR DEMs are scarcely available, and the only available DEMs are global DEMs like global SRTM DEMs with a resolution of 10m. These global DEMs are not accurate enough to be used for flood mapping. So, in this context, this study investigates the potential of multidate, multi-view stereo pairs PlanetScope images for the generation of DEM. Three DEMs were generated from images with slightly different view angles to see the effect of view angles of images on 3D modelling. One of the DEM generated by PlanetScope images was compared with DEM generated by high-resolution drone imagery and shows the normalized Median of Absolute Deviation (NMAD) of the elevation differences of 10m. Results show that planetScope images are useful assets for generating multiple DEMs due to their high temporal resolution. Such DEMs could be extremely useful for studying dynamic phenomena or monitoring disaster events like floods.

Comparative Analysis of Vision Foundation Models For Building Segmentation in Aerial Imagery

2025-05-19

Zeynep Akbulut , Samed Özdemir , Fevzi Karslı

Abstract. Visual Foundation Models (VFMs) demonstrate impressive generalization capabilities for image segmentation and classification tasks, leading to their increasing adoption in the remote sensing field. This study investigates the performance … Abstract. Visual Foundation Models (VFMs) demonstrate impressive generalization capabilities for image segmentation and classification tasks, leading to their increasing adoption in the remote sensing field. This study investigates the performance of VFMs in zero-shot building segmentation from aerial imagery using two model pipelines: Grounded-SAM and SAM+CLIP. Grounded-SAM integrates the Grounding DINO backbone with a Segment Anything Model (SAM) while SAM+CLIP first employs SAM for generating masks followed by Contrastive Language Image Pretraining (CLIP) for classification. The evaluation, performed on the WHU building dataset using Precision, Recall, F1 score, and intersection over union (IoU) metrics, revealed that Grounded-SAM achieved F1-score of 0.83 and IoU of 0.71. SAM+CLIP achieved F1-score of 0.65 and IoU of 0.49. While Grounded-SAM excelled at accurately delineating partially occluded and irregularly shaped buildings, SAM+CLIP was able to segment larger buildings but struggled with delineating smaller ones. Given the impressive performance of VFMs in zero-shot building segmentation, future efforts aimed at refining these models through fine-tuning or few-shot learning could significantly expand their application in remote sensing.

Digital Elevation Models – From Satellite Images to Free Available DEMs

2025-05-19

Karsten Jacobsen

Abstract. Digital elevation models are an important component of any Geo-Information System (GIS). This keynote provides an overview of the satellite stereo model orientation and image matching methods currently used … Abstract. Digital elevation models are an important component of any Geo-Information System (GIS). This keynote provides an overview of the satellite stereo model orientation and image matching methods currently used to generate Digital Elevation Models (DEMs). Using very high resolution stereo pairs of satellite images, DEMs with a standard height deviation in the range of 1m or even better can be generated within a limited time. Their generation is expensive, so we should have a look to free of charge available DEMs. With ASTER GDEM3, SRTM, AW3D30 and TDX-EDEM we have four global or nearly global free available. Their advantages and disadvantages are discussed. The edited version of TanDEM-X (TDX-EDEM) is the latest product published end of 2023. As reference for the analysis, LiDAR Digital Terrain Models (DTMs) with the height of the bare ground are used with an accuracy of ~ 20cm. The global or nearly global DEMs are Digital Surface Models (DSMs) with the height of the visible surface. For the comparison with the reference DTM, areas with high vegetation and buildings must be excluded, which was possible with the Land Cover Map (LCM) of TDX-EDEM. TDX-EDEM clearly offers the highest accuracy, but in steep mountains and built-up areas we should also take a look to AW3D30.

UGC-Net: Uncertainty-Guided Cost Volume Optimization with Contextual Features for Satellite Stereo Matching

2025-05-19

W. Jeong , Soon-Yong Park

Disparity estimation in satellite stereo images is a highly challenging task due to complex terrain, occlusions caused by tall buildings and structures, and texture-less regions such as roads, rivers, and … Disparity estimation in satellite stereo images is a highly challenging task due to complex terrain, occlusions caused by tall buildings and structures, and texture-less regions such as roads, rivers, and building roofs. Recent deep learning-based satellite stereo disparity estimation methods have adopted cascade multi-scale feature extraction techniques to address these challenges. However, the recent learning-based methods still struggle to effectively estimate disparity in the high ambiguity regions. This paper proposes a disparity estimation and refinement method that leverages variance uncertainty in the cost volume to overcome these limitations. The proposed method calculates variance uncertainty from the cost volume and generates uncertainty weights to adjust the cost volume based on this information. These weights are designed to emphasize geometric features in regions with low uncertainty while enhancing contextual features in regions with high uncertainty, such as occluded or texture-less areas. Furthermore, the proposed method introduces a pseudo volume, referred to as the 4D context volume, which extends the reference image’s features during the stereo-matching aggregation step. By integrating the 4D context volume into the aggregation layer of the geometric cost volume, our method effectively addresses challenges in disparity estimation, particularly in occluded and texture-less areas. For the evaluation of the proposed method, we use the Urban Semantic 3D dataset and the WHU-Stereo dataset. The evaluation results show that the proposed method achieves state-of-the-art performance, improving disparity accuracy in challenging regions.

A Review on Geo3o1 for 3D Georeferencing Accuracy Assessment of State-of-the-Art Sensor Dependent Orientation Model

2025-05-19

Hüseyin Topan

Abstract. Geo3o1 is a Matlab tool for 3D georeferencing accuracy retrieval for Pléiades 1A/1B/Neo, SPOT 6/7 and Göktürk-1 stereo or triplet primary panchromatic images. Even though the orientation model was … Abstract. Geo3o1 is a Matlab tool for 3D georeferencing accuracy retrieval for Pléiades 1A/1B/Neo, SPOT 6/7 and Göktürk-1 stereo or triplet primary panchromatic images. Even though the orientation model was settled by the image providers, the main contribution of Geo3o1 is the two-stage adjustment computation. Moreover, exterior orientation parameters’ efficiency and validation, and also the correlation between interior and exterior orientation parameters could be analysed. Geo3o1 is capable of processing stereo or triplet images. The case study was handled with the panchromatic primary triplet images of Pléiades 1A. 171 points measured by GNSS observations were used. The accuracy on the ground was estimated at the centimetre level for GCPs, while the accuracy for ICPs was naturally coarser at ∼ ± 1 GSD in bundle adjustment. The external orientation parameters’ effectiveness and validation, and co- and cross-correlations were also investigated. The test site covers a hilly, mountainous area in Zonguldak, Türkiye.

Optical Simulation of Foundation Applied Skin

2025-05-19

Tomoyuki KATSUYAMA

Two Men and Nine Years: Contribution of Karsten Jacobsen and Gürcan Büyüksalih to Photogrammetry and Remote Sensing Activities of Department of Geomatics Engineering at Zonguldak Bülent Ecevit University

2025-05-19

Hüseyin Topan , Hakan Akçın , Murat Oruç +3 more

Abstract. The millennium witnessed the development of high resolution remote sensing technology and its role in the geospatial information extraction. These developments required the photogrammetric evaluation of these images. Thanks … Abstract. The millennium witnessed the development of high resolution remote sensing technology and its role in the geospatial information extraction. These developments required the photogrammetric evaluation of these images. Thanks to Dr. Gürcan Büyüksalih’s attending to the Department of Geomatics Engineering at Zonguldak Bülent Ecevit University at the beginning of 1998, the education and research studies were started initiated under the guidance of a full-faculty member of the Department. After three years of preparation, a bilateral international project leading in its field was started in cooperation with Dr. Karsten Jacobsen. This paper reviews the contribution of two men to a wide range of photogrammetry and remote sensing activities in the Department of Geomatics Engineering at Zonguldak Bülent Ecevit University between 1998 and 2007. These studies involved not only the high resolution remote sensing images such as SPOT-5, IRS-1C, IKONOS, QuickBird, OrbView-3, Kompsat-1, Landsat but also the optical analogue images such as TK-350, KVR-1000 and MOMS-2P, and microwave data such as SRTM and JERS in terms of geometric analysis, georeferencing accuracy assessment, DSM/DEM generation and validation, and information content for topographic mapping. Thanks to this bilateral co-operation, the concept of mapping from space was developed and supported by many international scientists, making a very important contribution to the development of advanced remote sensing. These research activities were extended by bilateral Erasmus agreements, bilateral academic visits, two training courses which were the first in Türkiye, participation in various national and international scientific events, organisation of an ISPRS workshop and official duties in ISPRS working group.

A Real-Time Aerial Imagery Collection, Mapping, and Remote Sensing Testbench for Uncrewed Missions

2025-05-14

Calvin Coopmans , Richard M. Snider , Sadikul Alim Toki +3 more

No-reference-image gap filling for Landsat-7 ETM + SLC-off images under unsupervised classification criteria

2025-05-08

Yanjun Chen , Dazhi Zhou , Jing Niu +1 more

Spatial Analysis of Aerosol Optical Depth in Western Java Indonesia

2025-05-07

Rajwa Hanan , Fithriya Yulisiasih Rohmawati , Idung Risdiyanto +1 more | International Journal of Science and Mathematics Education

Air quality in Western Java is highly dynamic and shaped by environmental changes influenced by intense human activities. Aerosols—tiny particulate matter that affects air quality, weather, and climate—can be quantified … Air quality in Western Java is highly dynamic and shaped by environmental changes influenced by intense human activities. Aerosols—tiny particulate matter that affects air quality, weather, and climate—can be quantified using Aerosol Optical Depth (AOD), which measures aerosol concentrations in the atmospheric column. This research uses spatial regression analysis to examine the spatial distribution of AOD from GEE’s platform (Google Earth Engine) and its relationship with rainfall and wind patterns during both the wet and dry seasons. The findings indicate that wind speed does not significantly impact AOD values, but wind direction does affect the distribution of rainfall and AOD, likely due to the monsoon system. During the wet season (December to March), high-intensity and widespread rainfall effectively cleanses the atmosphere of aerosols, leading to no significant effect on AOD (p-value > 0.05). In contrast, during the dry season, rainfall significantly influences AOD spatial patterns (p-value < 0.05). These results highlight the intricate interplay between meteorological factors and aerosol’s behavior, emphasizing the seasonal variability in their interactions.

Hybrid-based predictive model for early detection of Myopia

2025-05-06

Nkechi Grace C Udensi , Ogochukwu C Okeke , Ike Joseph Mgbemfulike

This study presents a hybrid-based predictive model for early detection of Myopia to enhance ophthalmic diagnostics. The proposed system was developed using a hybrid neural network in order to improve … This study presents a hybrid-based predictive model for early detection of Myopia to enhance ophthalmic diagnostics. The proposed system was developed using a hybrid neural network in order to improve the early identification of myopia condition in patients. The model was trained and tested using a concept that combines several CNN learners that improved model prediction accuracy. The introduction of penalty terms and a user notification mechanism improved the model's ability to deal with complexity problems. A penalty term was introduced in order to make the model converge more quickly with better accuracy because it gives the user control over the layer's output. The hybrid framework was discouraged from utilizing larger weights by adding a penalty term that was based on the network weights' values. The hybrid CNN input and output layers were invariably fitted with a penalty term. The existing single CNN model achieved an accuracy of 84.89%, while the hybrid model outperformed it with a 95.91% detection accuracy. The current CNN had the lowest detection accuracy, and the system was never made better by adding more training examples. These results demonstrate the effectiveness of the proposed approach in improving early detection of Myopia, offering a scalable and accurate solution for medical diagnosis and intervention.

SatGS: Remote Sensing Novel View Synthesis Using Multi- Temporal Satellite Images with Appearance-Adaptive 3DGS

2025-05-01

Nicholas Bai , Anran Yang , Hao Chen +1 more

Novel view synthesis of remote sensing scenes from satellite images is a meaningful but challenging task. Due to the wide temporal span of image acquisition, satellite image collections often exhibit … Novel view synthesis of remote sensing scenes from satellite images is a meaningful but challenging task. Due to the wide temporal span of image acquisition, satellite image collections often exhibit significant appearance variations, such as seasonal changes and shadow movements, as well as transient objects, making it difficult to reconstruct the original scene accurately. Previous work has noted that a large amount of image variation in satellite images is caused by changing light conditions. To address this, researchers have proposed incorporating the direction of solar rays into neural radiance fields (NeRF) to model the amount of sunlight reaching each point in the scene. However, this approach fails to effectively account for seasonal variations and suffers from a long training time and slow rendering speeds due to the need to evaluate numerous samples from the radiance field for each pixel. To achieve fast, efficient, and high-quality novel view synthesis for multi-temporal satellite scenes, we propose SatGS, a novel method that leverages 3D Gaussian points for scene reconstruction with an appearance-adaptive adjustment strategy. This strategy enables our model to adaptively adjust the seasonal appearance features and shadow regions of the rendered images based on the appearance characteristics of the training images and solar angles. Additionally, the impact of transient objects is mitigated through the use of visibility maps and uncertainty optimization. Experiments conducted on WorldView-3 images demonstrate that SatGS not only renders superior image quality compared to existing State-of-the-Art methods but also surpasses them in rendering speed, showcasing its potential for practical applications in remote sensing.

4860 New developments in image guidance

2025-05-01

Jenny Bertholet

613 Assessing the ETHOS contouring efficacy --- An AI study in the wild.

2025-05-01

Frank Van den Heuvel , Lia Vugts , Frederik M. Claassen +7 more

Corrigendum to “A multipath mitigation method for significant environmental changes in deformation monitoring” [Adv. Space Res. 75(3) (2025) 2753–2763]

2025-05-01

Chaoqian Xu , Zihuai Guo , Yibin Yao +2 more

Accuracy Assessment of DEMs Based on Different Control Point Types Using KOMPSAT-5 Imagery and RPC Model

2025-04-30

Hyoseong Lee , Woosung Park , Dochul Yang

A Test on Positional Accuracy of NEONSAT-1 Data

2025-04-30

Jaehong Oh , Jae-Hyun Ryu , Dong Gi Seo +2 more

Технология управления комплексной обработкой данных дистанционного зондирования Земли в системах мониторинга и прогнозирования потенциально-опасных процессов природного и техногенного характера с учетом их текущих ресурсных возможностей

2025-04-29

С. А. Карин

В статье предложена технология управления комплексной обработкой данных дистанционного зондирования Земли при решении расчетно-информационных задач по расчету количественных и качественных показателей текущей обстановки и прогнозирования протекания процессов природного и техногенного … В статье предложена технология управления комплексной обработкой данных дистанционного зондирования Земли при решении расчетно-информационных задач по расчету количественных и качественных показателей текущей обстановки и прогнозирования протекания процессов природного и техногенного происхождения. В основе предложенной технологии лежит реализация и выбор оптимизационных стратегий управления обработкой данных, среди которых – стратегия формирования очереди поступающих расчетно-информационных задач, а также стратегия организации информационных потоков при их решении. С использованием разработанного автором программного обеспечения был проведен эксперимент и представлены результаты имитационного моделирования процессов обработки данных на основе предложенных в статье стратегий управления. Основываясь на полученных в рамках проведенного эксперимента результатах, делается вывод о том, что использование рассмотренной технологии позволяет повысить результативность решения расчетно-информационных задач в условиях ресурсных ограничений путем адаптации процессов комплексной обработки данных к текущим внешним и внутренним условиям. В зависимости от выбранных параметров управления результативность может быть увеличена на 15–20 % по сравнению с существующими способами управления функционированием систем такого класса.

Enhancing the Convolutional Neural Nets for Analysing the Aerial and Satellite Image Interpretation

2025-04-26

D Komathi

This research investigates the use of Convolutional Neural Networks (CNNs) for examining aerial and satellite images utilizing Tensor Flow. As high-resolution remote sensing data becomes increasingly accessible, there is an … This research investigates the use of Convolutional Neural Networks (CNNs) for examining aerial and satellite images utilizing Tensor Flow. As high-resolution remote sensing data becomes increasingly accessible, there is an increasing demand for precise and automated analysis techniques. We employ CNNs to detect and classify complex patterns in these images, especially for land cover classification tasks. The system has been trained and validated using an extensive dataset of labeled aerial and satellite images, guaranteeing its dependability and precision across different situations. By leveraging Tensor Flow, we take advantage of its robust computational capabilities and scalability, which facilitate the development and deployment of sophisticated neural network models. The results show significant improvements in both accuracy and processing speed compared to traditional image analysis techniques. This approach has important implications for areas such as urban planning, disaster management, and environmental conservation, highlighting the transformative role of deep learning in remote sensing.

Research on adaptive Harris corner detection of UAV airport runway based on stereo vision

2025-04-18

Yang Hu , Jingjing Chen , Yu Han +3 more | 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022)