Building Earthquake Damage Information Extraction from a Single Post-Earthquake PolSAR Image
文献类型：期刊论文
| 作者 | Zhai, Wei1,2,3,4; Shen, Huanfeng5; Huang, Chunlin2,4; Pei, Wansheng6 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2016-03-01 |
| 卷号 | 8期号:3页码:14 |
| 关键词 | damage assessment buildings PolSAR earthquake |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs8030171 |
| 通讯作者 | Huang, Chunlin(huangcl@lzb.ac.cn) |
| 英文摘要 | After an earthquake, rapidly and accurately obtaining building damage information can help to effectively guide the implementation of the emergency rescue and can reduce disaster losses and casualties. Using a single post-earthquake fully-polarimetric synthetic aperture radar (PolSAR) image to interpret building damage information not only involves a guaranteed data source but is also easy and can be rapidly implemented. This paper is focused on rapid building earthquake damage detection in urban areas using post-earthquake PolSAR data. In PolSAR images, the undamaged buildings parallel to satellite flight pass are different from the collapsed buildings, but the undamaged buildings divergent to satellite flight pass are very similar to collapsed buildings because of their volume scattering characteristics. In this paper, the method of polarization orientation angle (POA) compensation is employed to increase the scattering power of buildings divergent to satellite flight pass, and then Wishart supervised classification is implemented on the PolSAR data after POA compensation. In addition, the two parameters of normalized difference of the dihedral component (NDDC) and rho(HHHV) are proposed to improve the classification accuracy of the Wishart supervised classification, and both the undamaged buildings and collapsed buildings are determined. The study was carried out after the "4.14" Yushu earthquake in Yushu County, Qinghai province, China. The three damage levels are set for the urban area at the city block scale according to the values of the BBCR building damage index. The experimental results confirm that the scheme proposed in this paper can greatly improve the accuracy of the extraction of building damage information. |
| 收录类别 | SCI |
| WOS关键词 | POLARIMETRIC SAR IMAGERY ; URBAN AREAS ; MULTIPLE CLASSIFIERS ; CLASSIFICATION ; DECOMPOSITION ; FUSION |
| WOS研究方向 | Remote Sensing |
| WOS类目 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000373627400061 |
| 出版者 | MDPI AG |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557288 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Huang, Chunlin |
| 作者单位 | 1.Gansu Earthquake Adm, Lanzhou 730000, Peoples R China 2.Chinese Acad Sci, Key Lab Remote Sensing Gansu Prov, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China 5.Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China 6.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhai, Wei,Shen, Huanfeng,Huang, Chunlin,et al. Building Earthquake Damage Information Extraction from a Single Post-Earthquake PolSAR Image[J]. REMOTE SENSING,2016,8(3):14. |
| APA | Zhai, Wei,Shen, Huanfeng,Huang, Chunlin,&Pei, Wansheng.(2016).Building Earthquake Damage Information Extraction from a Single Post-Earthquake PolSAR Image.REMOTE SENSING,8(3),14. |
| MLA | Zhai, Wei,et al."Building Earthquake Damage Information Extraction from a Single Post-Earthquake PolSAR Image".REMOTE SENSING 8.3(2016):14. |
入库方式： iSwitch采集
来源：寒区旱区环境与工程研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。