Post-War Building Damage Detection

Proceedings

Jezzini, Abedelkarim A.¹  Ghandour, Ali J.² 

[1] Islamic University of Lebanon, P.O. Box 30014, Beirut, Lebanon;National Council for Scientific Research, 59, Zahia Salmane street, Jnah P.O. Box 11-8281, Beirut, Lebanon

关键词: damage detection;    post-war analysis;    building extraction;    remote sensing;   

DOI  :  10.3390/ecrs-2-05172

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

Natural disasters and wars wreak havoc not only on individuals and critical infrastructure, but also leave behind ruined residential buildings and housings. The size, type and location of damaged houses are essential data sources for the post-disaster reconstruction process. Building damage detection due to war activities has not been thoroughly discussed in the literature. In this paper, an automated building damage detection technique that relies on both pre- and post-war aerial images is proposed. Building damage estimation was done using shadow information and Gray Level Co-occurrence Matrix features. Accuracy assessment applied over a Syrian war-affected zone near Damascus reveals the excellent performance of the proposed technique.

【 授权许可】

CC BY