3D-FGRNet: 3D Feature Guided Refinement Network for SAR Change Detection
Bin Cui, Peng Zhu, Hong Fang, Yao Peng et autres
Synthetic aperture radar (SAR) change detection is crucial for numerous remote sensing applications, yet it faces significant challenges including speckle noise and the scarcity of reliable ground truth labels. Traditional unsupervised SAR change detection methods often struggle with noise robustness and the …
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IEEE Geoscience and Remote Sensing Letters