Siamese KPConv - 3D Point Cloud Change Detection
Compare aligned point clouds from two dates to learn spatial change classes, with clear separation between survey differences and real change.
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Compare aligned point clouds from two dates to learn spatial change classes, with clear separation between survey differences and real change.
Compare two dates through a multiscale Siamese Transformer. This page selects the original LEVIR-trained V6 checkpoint and explains its binary building-change output.
A real bitemporal remote-sensing model for comparing co-registered image pairs. The author-provided LEVIR checkpoint focuses on building change.