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Proceedings Paper

Typical disaster damage target extraction method based on object oriented classification
Author(s): Gang Wang; Fenfei Wang; Jiansheng Chen; Shirong Chen
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Paper Abstract

The extraction of typical targets (such as water, road and damaged buildings) of nature disaster is important to the emergency management, post-disaster damage assessment and disaster monitoring. This paper shows an objected oriented method to extract water, road and building targets in the earthquake of Wenchuan(2008), Yushu(2010) and Haiti(2010). We built the optimal feature sets with spectral features, shape features, texture features and context features. Experiment result shows that this method can extract flood area, road and damaged buildings effectively and achieve a relatively high accuracy. These experimental studies are leading to the opportunity to integrate classical damage survey and image oriented semi-automatic interpretation.

Paper Details

Date Published: 15 August 2011
PDF: 8 pages
Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 820316 (15 August 2011); doi: 10.1117/12.910423
Show Author Affiliations
Gang Wang, Institute of Remote Sensing Applications (China)
Fenfei Wang, National Astronomical Observatories (China)
Jiansheng Chen, Institute of Remote Sensing Applications (China)
Shirong Chen, National Disaster Reduction Ctr. of China (China)


Published in SPIE Proceedings Vol. 8203:
Remote Sensing of the Environment: The 17th China Conference on Remote Sensing
Qingxi Tong; Xingfa Gu; Boqin Zhu, Editor(s)

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