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Proceedings Paper

Semi-auto assessment system on building damage caused by landslide disaster with high-resolution satellite and aerial images
Author(s): Bo Sun; Qihua Xu; Jun He; Fengxiang Ge; Ying Wang
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Paper Abstract

In recent years, earthquake and heavy rain have triggered more and more landslides, which have caused serious economic losses. The timely detection of the disaster area and the assessment of the hazard are necessary and primary for disaster mitigation and relief. As high-resolution satellite and aerial images have been widely used in the field of environmental monitoring and disaster management, the damage assessment by processing satellite and aerial images has become a hot spot of research work. The rapid assessment of building damage caused by landslides with high-resolution satellite or aerial images is the focus of this article. In this paper, after analyzing the morphological characteristics of the landslide disaster, we proposed a set of criteria for rating building damage, and designed a semi-automatic evaluation system. The system is applied to the satellite and aerial images processing. The performance of the experiments demonstrated the effectiveness of our system.

Paper Details

Date Published: 15 October 2015
PDF: 7 pages
Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI, 96431O (15 October 2015); doi: 10.1117/12.2193733
Show Author Affiliations
Bo Sun, Beijing Normal Univ. (China)
Qihua Xu, Beijing Normal Univ. (China)
Jun He, Beijing Normal Univ. (China)
Fengxiang Ge, Beijing Normal Univ. (China)
Ying Wang, Beijing Normal Univ. (China)

Published in SPIE Proceedings Vol. 9643:
Image and Signal Processing for Remote Sensing XXI
Lorenzo Bruzzone, Editor(s)

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