A high-performance deep feature encoding network using GeoFusion-ChangeNet for land cover mapping and change detection in remote sensing imagery
This research introduces an advanced deep learning framework, GeoFusion-ChangeNet, for high-resolution land cover mapping and automatic change detection, which integrates hierarchical convolutional feature encoder with a residual deep feature backbone to effectively capture rich multi-scale spatial features.