Yaolong Qi, Yanping Wang, Xiaolin Yang, Husheng Li
{"title":"微波成像在地面SAR区域变形监测中的应用","authors":"Yaolong Qi, Yanping Wang, Xiaolin Yang, Husheng Li","doi":"10.1109/APSAR.2015.7306309","DOIUrl":null,"url":null,"abstract":"Regional deformation monitoring is important for early warning of deformation disasters. This paper focuses on the applications of microwave imaging in deformation monitoring based on ground-based SAR. Specifically, the paper mainly studies the microwave image reconstruction and deformation information extraction firstly. Then, matching principle and method of auxiliary terrain data and microwave image is analyzed. Based on the key technologies above, the paper carry out point target deformation monitoring experiment in laboratory and slope deformation monitoring experiment in a mine slope, which can verify the correctness of the models and the accuracy of the methods.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":" 896","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Application of microwave imaging in regional deformation monitoring using ground based SAR\",\"authors\":\"Yaolong Qi, Yanping Wang, Xiaolin Yang, Husheng Li\",\"doi\":\"10.1109/APSAR.2015.7306309\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Regional deformation monitoring is important for early warning of deformation disasters. This paper focuses on the applications of microwave imaging in deformation monitoring based on ground-based SAR. Specifically, the paper mainly studies the microwave image reconstruction and deformation information extraction firstly. Then, matching principle and method of auxiliary terrain data and microwave image is analyzed. Based on the key technologies above, the paper carry out point target deformation monitoring experiment in laboratory and slope deformation monitoring experiment in a mine slope, which can verify the correctness of the models and the accuracy of the methods.\",\"PeriodicalId\":350698,\"journal\":{\"name\":\"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)\",\"volume\":\" 896\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSAR.2015.7306309\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSAR.2015.7306309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of microwave imaging in regional deformation monitoring using ground based SAR
Regional deformation monitoring is important for early warning of deformation disasters. This paper focuses on the applications of microwave imaging in deformation monitoring based on ground-based SAR. Specifically, the paper mainly studies the microwave image reconstruction and deformation information extraction firstly. Then, matching principle and method of auxiliary terrain data and microwave image is analyzed. Based on the key technologies above, the paper carry out point target deformation monitoring experiment in laboratory and slope deformation monitoring experiment in a mine slope, which can verify the correctness of the models and the accuracy of the methods.