Abstract
Only using the post-earthquake PolSAR imagery to interpret collapsed buildings information is a rapid and effective disaster investigation means, which is also easy and fast for implementation of the earthquake damage assessment. This work is focused on rapid building earthquake damage information detection in urban areas using a single post-earthquake PolSAR image. In this paper, the Precision Weighted Multi-feature Fusion (PWMF) method is proposed to fuse multiple texture features for more accurate extraction of the collapsed buildings and the undamaged buildings. In addition, the algorithm of Optimization of Polarimetric Contrast Enhancement (OPCE) is employed to enhance the contrast ratio between the collapsed buildings and the oriented buildings in order to improve the extraction accuracy of the collapsed buildings and undamaged buildings. The building damage assessment is carried out at the city block scale according to the building collapse rate.
Published Version
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