The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-3
https://doi.org/10.5194/isprs-archives-XLII-3-39-2018
https://doi.org/10.5194/isprs-archives-XLII-3-39-2018
30 Apr 2018
 | 30 Apr 2018

EARTHQUAKE BUILDING DAMAGE MAPPING BASED ON FEATURE ANALYZING METHOD FROM SYNTHETIC APERTURE RADAR DATA

L. An, J. Zhang, and L. Gong

Keywords: Building Damage Assessment, Earthquake Emergency, Feature Analysing, SAR

Abstract. Playing an important role in gathering information of social infrastructure damage, Synthetic Aperture Radar (SAR) remote sensing is a useful tool for monitoring earthquake disasters. With the wide application of this technique, a standard method, comparing post-seismic to pre-seismic data, become common. However, multi-temporal SAR processes, are not always achievable. To develop a post-seismic data only method for building damage detection, is of great importance. In this paper, the authors are now initiating experimental investigation to establish an object-based feature analysing classification method for building damage recognition.