Unsupervised Deep Feature Extraction for Remote Sensing Image Classification
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification
This paper introduces the use of single layer and deep convolutional networks for remote sensing data analysis. Direct application to multi- and hyper-spectral imagery of supervised (shallow or deep) convolutional networks is very challenging given the high input data dimensionality and the relatively small amount of available labeled data. Therefore, …