Signature analysis of building damage with Terra SAR-X new staring SpotLight mode data

	Signature analysis of building damage with Terra SAR-X new staring SpotLight mode data
	Wu, Fan 1; Gong, Lixia 1; Wang, Chao 1; Zhang, Hong 1; Zhang, Bo 1; Xie, Lei 1
刊名	IEEE Geoscience and Remote Sensing Letters
	2016
卷号	13 期号:11 页码:1696-1700
通讯作者	Gong, Lixia (xiaolongzhu1900@hotmail.com)
英文摘要	In 2013, the TerraSAR-X (TSX) mission was extended by implementing two new modes, including Staring SpotLight (ST). The azimuth resolution of this mode is significantly increased to approximately 0.24 m by widening the azimuth beam steering angle range. In this letter, five types of damaged buildings due to earthquake are analyzed using TSX images in the new ST mode. In particular, the characteristics of the individual damaged buildings are investigated using the new very high-resolution images. The old Beichuan County is selected as the research area, where most of the buildings damaged by the earthquake on May 12, 2008 have been preserved. Moreover, buildings with different types of damage can be found in the study area. Features such as backscattering and texture measurements of the damaged buildings in descending and ascending post-earthquake HH and VV polarization synthetic aperture radar (SAR) images are analyzed. Visual interpretation, statistical comparison, and classification experiments are performed for the damaged building analysis. Based on the analysis, the TSX ST mode images show potential for building damage detection and for discrimination of basic damage classes. In addition, the classification results show that the gray-level co-occurrence matrix (GLCM) second moment, the variance of backscattering, and the GLCM homogeneity are the three best features for the discrimination of damage type. © 2004-2012 IEEE.
收录类别	EI
语种	英语
WOS记录号	WOS:20163902845767
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39621]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 2.100094, China 3. Institute of Crustal Dynamics, China Earthquake Administration, Beijing 4.100085, China 5. School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne 6.NE1 7RU, United Kingdom
推荐引用方式 GB/T 7714	Wu, Fan,Gong, Lixia,Wang, Chao,et al. Signature analysis of building damage with Terra SAR-X new staring SpotLight mode data[J]. IEEE Geoscience and Remote Sensing Letters,2016,13(11):1696-1700.
APA	Wu, Fan,Gong, Lixia,Wang, Chao,Zhang, Hong,Zhang, Bo,&Xie, Lei.(2016).Signature analysis of building damage with Terra SAR-X new staring SpotLight mode data.IEEE Geoscience and Remote Sensing Letters,13(11),1696-1700.
MLA	Wu, Fan,et al."Signature analysis of building damage with Terra SAR-X new staring SpotLight mode data".IEEE Geoscience and Remote Sensing Letters 13.11(2016):1696-1700.