Semi-auto assessment system on building damage caused by landslide disaster with high-resolution satellite and aerial images

Bo Sun; Qihua Xu; Jun He; Fengxiang Ge; Ying Wang

doi:10.1117/12.2193733

15 October 2015 Semi-auto assessment system on building damage caused by landslide disaster with high-resolution satellite and aerial images

Bo Sun, Qihua Xu, Jun He, Fengxiang Ge, Ying Wang

Author Affiliations +

Proceedings Volume 9643, Image and Signal Processing for Remote Sensing XXI; 96431O (2015) https://doi.org/10.1117/12.2193733
Event: SPIE Remote Sensing, 2015, Toulouse, France

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.

Citation Download Citation

Bo Sun, Qihua Xu, Jun He, Fengxiang Ge, and Ying Wang "Semi-auto assessment system on building damage caused by landslide disaster with high-resolution satellite and aerial images", Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI, 96431O (15 October 2015); https://doi.org/10.1117/12.2193733

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