Phase-based fine-grained change detection

Xuzhi Wang, Liang Wan, Di Lin, Wei Feng

Abstract: Highlights•A novel fine-grained change detection framework.•A novel phase-based fine-grained registration method.•Finding structural information effective for fine-grained change detection.•Building a real-world dataset for fine-grained change detection.•Increasing the F1-measure by more than 190% over those state-of-the-art methods.