Optimized Fully Convolutional Neural Network Encoder for Water Detection in SAR Images

Comparison between Classic Methods and Deep Learning Approach in Detecting Changes of Waterbodies from Sentinel-1 Images

“…In their paper, Aghdami-Nia et al [9] developed an automatic coastline extraction framework by modifying the Standard U-Net model to enhance sea-land segmentation. In another study, Lin et al [10] proposed a novel approach utilizing a Fully Convolutional Neural Network to detect water in Sentinel-1 SAR images accurately. The overall detection performance is enhanced by incorporating the spatial information of neighboring pixels and analyzing the corresponding pixel intensities.…”