MatchCD performs homography-based registration and building change detection on large unregistered bi-temporal remote sensing images using contrastive pre-training, frozen matching, and prior masks from FastSAM.
R&D-Net: Integration of registration-net and detection-net for identifying building changes in high spatial- resolution remote sensing images,
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Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation
MatchCD performs homography-based registration and building change detection on large unregistered bi-temporal remote sensing images using contrastive pre-training, frozen matching, and prior masks from FastSAM.