Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection
Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection
Change detection is one of the fundamental applications of synthetic aperture radar (SAR) images. However, speckle noise presented in SAR images has a negative effect on change detection, leading to frequent false alarms in the mapping products. In this research, a novel two-phase object-based deep learning approach is proposed for …