MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification

arXiv:2404.12081v1 Announce Type: new
Abstract: Change detection (CD) from remote sensing (RS) images using deep learning has been widely investigated in the literature. It is typically regarded as a pixel-wise labeling task that aims to classify each pixel as changed or unchanged. Although per-pixel classification networks in encoder-decoder structures have shown dominance, they still suffer from imprecise boundaries and incomplete object delineation at various scenes. For high-resolution RS images, partly or totally changed objects are more worthy of attention rather …

arxiv change classification cs.cv detection network sensing type