{"title":"基于高分辨率SAR和InSAR图像的基础设施分析","authors":"Andrew J. Bennett, David Blacknell","doi":"10.1109/DFUA.2003.1219993","DOIUrl":null,"url":null,"abstract":"In this paper, we present a methodology for the extraction of building dimensions from high resolution SAR and 3-d (InSAR) imagery. For flat and sloping roof buildings we show how differing imaging geometries produce fundamental limitations on the structural information that may be obtained. The procedure is applied real imagery and initial results are discussed.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":"{\"title\":\"Infrastructure analysis from high resolution SAR and InSAR imagery\",\"authors\":\"Andrew J. Bennett, David Blacknell\",\"doi\":\"10.1109/DFUA.2003.1219993\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a methodology for the extraction of building dimensions from high resolution SAR and 3-d (InSAR) imagery. For flat and sloping roof buildings we show how differing imaging geometries produce fundamental limitations on the structural information that may be obtained. The procedure is applied real imagery and initial results are discussed.\",\"PeriodicalId\":308988,\"journal\":{\"name\":\"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"33\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DFUA.2003.1219993\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DFUA.2003.1219993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Infrastructure analysis from high resolution SAR and InSAR imagery
In this paper, we present a methodology for the extraction of building dimensions from high resolution SAR and 3-d (InSAR) imagery. For flat and sloping roof buildings we show how differing imaging geometries produce fundamental limitations on the structural information that may be obtained. The procedure is applied real imagery and initial results are discussed.