ChangeQuery is a new multimodal framework for semantic disaster change analysis that combines optical and SAR data with a custom dataset and annotation pipeline to support interactive damage assessment.
Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man- made disasters,
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STSF-Net improves optical-SAR change detection by modeling specific and common features with prior-guided fusion and introduces the first multiclass MMCD benchmark dataset Delta-SN6, outperforming prior methods on multiple datasets.
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ChangeQuery: Advancing Remote Sensing Change Analysis for Natural and Human-Induced Disasters from Visual Detection to Semantic Understanding
ChangeQuery is a new multimodal framework for semantic disaster change analysis that combines optical and SAR data with a custom dataset and annotation pipeline to support interactive damage assessment.
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Prior-guided Fusion of Multimodal Features for Change Detection from Optical-SAR Images
STSF-Net improves optical-SAR change detection by modeling specific and common features with prior-guided fusion and introduces the first multiclass MMCD benchmark dataset Delta-SN6, outperforming prior methods on multiple datasets.