The author proposes the BD-MSA model to address challenges in remote sensing image change detection, focusing on global and local feature information aggregation and decoupling the change region's center from its edges.
The ChangeMamba architecture, based on the Mamba state space model, can efficiently model the global spatial context and spatio-temporal relationships to achieve accurate and efficient change detection in remote sensing images.