Flood Detection in Polarimetric SAR Data Using Deformable Convolutional Vision Model
Haiyang Yu,
Ruili Wang,
Pengao Li
et al.
Abstract:Floods represent a significant natural hazard with the potential to inflict substantial damage on human society. The swift and precise delineation of flood extents is of paramount importance for effectively supporting flood response and disaster relief efforts. In comparison to optical sensors, Synthetic Aperture Radar (SAR) sensor data acquisition exhibits superior capabilities, finding extensive application in flood detection research. Nonetheless, current methodologies exhibit limited accuracy in flood boun… Show more
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