EARTHQUAKE BUILDING DAMAGE MAPPING BASED ON FEATURE ANALYZING METHOD FROM SYNTHETIC APERTURE RADAR DATA
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 c...
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| Published in | International archives of the photogrammetry, remote sensing and spatial information sciences. Vol. XLII-3; pp. 39 - 43 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Copernicus Publications
30.04.2018
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| Online Access | Get full text |
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| Summary: | 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. |
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| ISSN: | 2194-9034 1682-1750 2194-9034 |
| DOI: | 10.5194/isprs-archives-XLII-3-39-2018 |