A Novel Approach to Building Change Detection in Very High Resolution SAR Images

被引：2

作者：

Bovolo, Francesca ^{[1
]}

Marin, Carlo ^{[1
]}

Bruzzone, Lorenzo ^{[1
]}

机构：

[1] Univ Trento, Dept Informat Engn & Comp Sci, I-38123 Povo, Trento, Italy

来源：

IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XVIII | 2012年 / 8537卷

关键词：

Multitemporal images; Change detection; Building damage assessment; Damage detection; Very high geometrical resolution images; Synthetic aperture radar; Image processing; Natural disaster; Remote sensing;

D O I：

10.1117/12.974661

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes a novel approach to building change detection in Very high Resolution (VHR) Synthetic Aperture Radar (SAR) images. The proposed approach is based on three concepts: i) the selection of the proper scale of representation; ii) the extraction of information on changes associated with increase and decrease of backscattering at the selected building scale (hot-spots); and iii) the exploitation of the expected backscattering properties of buildings to detect new and fully destroyed buildings. Experimental results obtained on a data set made up of two COSMO-SkyMed (CSK (R)) spotlight images acquired in 2009 over the city L'Aquila (Italy) before and after the earthquake that hit the region, demonstrated that the proposed approach allows an accurate identification of destroyed buildings while presents a low rate of false alarms.

引用

页数：12

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