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Open access Aug 2026

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.

Yi Chen · 0 citations

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