A Change Detection Method Based on a Dual-Path Siamese Network With Boundary Feature Difference Modeling
High-resolution remote sensing change detection remains challenging because pseudochanges, complex land-cover textures, and blurred object boundaries often degrade feature discrimination. This article presents the dual-path siamese multistage U-Net (DSM-UNet), a deep learning architecture that explicitly incorporates b...