庞雷^{1, 2, 3,},
张风丽^{1, 2, 3,,},
王国军^{1, 3,},
刘娜^{1, 2, 3,},
邵芸^{1, 2, 3,},
张家萌^4,,
赵钰川^4,,
庞蕾^4,
1.中国科学院空天信息创新研究院 北京 100094
2.中国科学院大学 北京 100049
3.中科卫星应用德清研究院浙江省微波目标特性测量与遥感重点实验室 湖州 313200
4.北京建筑大学 北京 100044
基金项目:国家重点研发计划(2016YFB0502504)，国家自然科学基金(41671359)，北京高等学校高水平人才交叉培养“实培计划”项目(编号17)

详细信息

作者简介:庞雷：庞　雷(1996–)，男，四川人，中国科学院大学硕士研究生，研究方向为微波遥感、SAR图像处理。E-mail: panglei18@mails.ucas.ac.cn
张风丽(1978–)，女，山东人，博士，中国科学院空天信息创新研究院副研究员，研究方向为雷达遥感机理与方法、国产SAR卫星数据处理和应用。发表论文70余篇，出版专著2部，获发明专利授权6项。E-mail: zhangfl@aircas.ac.cn
王国军(1986–)，男，湖北人，博士，中国科学院空天信息创新研究院助理研究员，研究方向为SAR遥感应用及数据分析。E-mail: wanggj@radi.ac.cn
刘娜：刘　娜(1994–)，女，辽宁人，中国科学院大学硕士研究生，研究方向为微波遥感、SAR图像处理。E-mail: liuna@radi.ac.cn
邵芸：邵　芸(1961–)，女，中国科学院空天信息创新研究院研究员，中共十八大、十九大代表。长期从事雷达遥感机理与应用研究，发表论文260余篇。E-mail: shaoyun@aircas.ac.cn
张家萌(1996–)，女，河北人，北京建筑大学硕士研究生，研究方向为摄影测量与遥感、微波遥感、SAR图像处理。E-mail: 2108521519003@stu.bucea.edu.cn
赵钰川(1997–)，男，北京人，北京建筑大学本科，研究方向为微波遥感、SAR图像处理。E-mail: 847733296@qq.com
庞蕾：庞　蕾(1971–)，女，博士，北京建筑大学副教授，主要研究方向为多基线干涉SAR数据处理与应用。E-mail: panglei@bucea.edu.cn

通讯作者:张风丽 zhangfl@aircas.ac.cn

责任主编：陈思伟 Corresponding Editor: CHEN Siwei
中图分类号:TN957.52

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出版历程

收稿日期:2020-05-13
修回日期:2020-06-24
网络出版日期:2020-07-01

Imaging Simulation and Damage Assessment Feature Analysis of Ku Band Polarized SAR of Buildings

PANG Lei^{1, 2, 3,},
ZHANG Fengli^{1, 2, 3,,},
WANG Guojun^{1, 3,},
LIU Na^{1, 2, 3,},
SHAO Yun^{1, 2, 3,},
ZHANG Jiameng^4,,
ZHAO Yuchuan^4,,
PANG Lei^4,
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
4. Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Funds:The National Key R&D Program of China (2016YFB0502504), The National Natural Science Foundation of China (41671359), The “Practical Training Plan” Project for Cross Training of High Level Talents in Beijing Colleges and Universities (No. 17)

More Information

Corresponding author:ZHANG Fengli, zhangfl@aircas.ac.cn

摘要
摘要:建筑物损毁评估在灾害应急监测中十分重要。近年来，随着SAR硬件多极化能力的增加，极化SAR为建筑物损毁评估提供了更多的可能性，基于极化特征的建筑物损毁评估方法逐渐成为了研究的重点。然而，由于极化SAR数据获取的限制，当前的研究主要集中在L, C, X等有限波段内。为了进一步加深对SAR图像损毁建筑物极化特征的理解并丰富其它波段下SAR图像损毁建筑物的极化特征应用，该文进行了建筑物Ku波段极化SAR仿真实验，并通过SAR图像极化分解的方法进行了损毁评估特征分析。该文首先制作了真实材料的建筑物缩比模型，利用微波特性测量与仿真成像科学实验平台对损毁前后的建筑物目标进行SAR仿真成像，获取了建筑物损毁前后的Ku波段极化SAR图像。然后，借助$ H/A/\alpha $分解、Yamaguchi分解、Touzi分解等极化分解方法分析了Ku波段建筑物目标损毁前后的极化散射特征，分析表明，Yamaguchi分解得到的去定向后的体散射分量、二次散射分量占比以及Touzi分解得到的$ {\alpha }_{\rm s1} $分量对于Ku波段建筑物损毁评估具有较好的指示意义；通过与X波段实验测量结果的对比，发现Ku波段对建筑物损毁评估更敏感，这对于未来雷达遥感应用具有重要的启发意义。
关键词:极化SAR/
仿真成像/
极化分解/
建筑物/
损毁评估
Abstract: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-characteristic-based 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/\alpha} $ decomposition, 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 ${ {\alpha }_{\rm s1}} $ 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.
Key words:Polarimetric SAR(PolSAR)/
Image simulation/
Polarimetric decomposition/
Building/
Damage assessment



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