Imaging Simulation and Damage Assessment Feature Analysis of Ku Band Polarized SAR of Buildings
PANG Lei,
ZHANG Fengli,
WANG Guojun,
LIU Na,
SHAO Yun,
ZHANG Jiameng,
ZHAO Yuchuan,
PANG Lei
Affiliations
PANG Lei
①(Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)②(University of Chinese Academy of Sciences, Beijing 100049, China)③(China Science and Technology Satellite Application Deqing Research Institute, Zhejiang key laboratory of microwave target characteristic measurement and remote sensing, Huzhou 313200, China)
ZHANG Fengli
①(Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)②(University of Chinese Academy of Sciences, Beijing 100049, China)③(China Science and Technology Satellite Application Deqing Research Institute, Zhejiang key laboratory of microwave target characteristic measurement and remote sensing, Huzhou 313200, China)
WANG Guojun
①(Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)③(China Science and Technology Satellite Application Deqing Research Institute, Zhejiang key laboratory of microwave target characteristic measurement and remote sensing, Huzhou 313200, China)
LIU Na
①(Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)②(University of Chinese Academy of Sciences, Beijing 100049, China)③(China Science and Technology Satellite Application Deqing Research Institute, Zhejiang key laboratory of microwave target characteristic measurement and remote sensing, Huzhou 313200, China)
SHAO Yun
①(Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)②(University of Chinese Academy of Sciences, Beijing 100049, China)③(China Science and Technology Satellite Application Deqing Research Institute, Zhejiang key laboratory of microwave target characteristic measurement and remote sensing, Huzhou 313200, China)
ZHANG Jiameng
④(Beijing University of Civil Engineering and Architecture, Beijing 100044, China)
ZHAO Yuchuan
④(Beijing University of Civil Engineering and Architecture, Beijing 100044, China)
PANG Lei
④(Beijing University of Civil Engineering and Architecture, Beijing 100044, China)
Building damage assessment is important in disaster emergency monitoring. In recent years, with the increase of multi-polarization capability of Synthetic Aperture Radar (SAR), Polarimetric Synthetic Aperture Radar (PolSAR) provides more possibilities for building damage assessment, and the polarization-characteristicbased building damage assessment method has gradually become the focus of research. However, because of the limitations of data acquisition in PolSAR, current research mainly focuses on the L, C, X, and other limited bands. To obtain an in depth understanding of the polarization characteristics of damaged buildings in SAR images and develop the application of the polarization characteristics of damaged buildings to other bands, this study conducted a simulation experiment of Ku band polarized SAR of buildings, and performed damage assessment feature analysis using the SAR image polarization decomposition method. In this study, a scale model of real materials was built and the “microwave characteristic measurement and simulation imaging scientific experiment platform” was used to conduct SAR simulation imaging of the target buildings. The Ku band polarized SAR images before and after building damage were obtained. Then, the polarization scattering characteristics of buildings before and after damage were analyzed using various common polarization decomposition methods such as H/A/αdecomposition, Yamaguchi decomposition and Touzi decomposition. Results show that the disoriented volume scattering component and the proportion of the disoriented secondary scattering component obtained by the Yamaguchi decomposition and the αs1 component obtained by the Touzi decomposition have good indicative significance for building damage assessment in the Ku band. Compared with the X band measurement results, the Ku band is more sensitive to building damage assessment, which has important implications for future radar remote sensing applications.
