{"title":"InSAR数据中显著散射体分组用于工业建筑识别","authors":"E. Michaelsen, U. Soergel, Uwe Stilla","doi":"10.1109/ICPR.2002.1048377","DOIUrl":null,"url":null,"abstract":"InSAR data are used to recognise large industrial building complexes. Such buildings often show salient regular patterns of strong scatterers on their roofs. A previous segmentation which uses the intensity, height and coherence information extracts building cues. Strong scatterers are filtered by a spot detector and localised by a cluster formation. Strong scatterers are grouped in rows by a process that uses the contours of the building cues as context. Stich buildings are labelled as industrial buildings and serve as seeds to assemble adjacent buildings into complex structured building aggregates. The structure of the grouping process is depicted by a production net.","PeriodicalId":159502,"journal":{"name":"Object recognition supported by user interaction for service robots","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Grouping salient scatterers in InSAR data for recognition of industrial buildings\",\"authors\":\"E. Michaelsen, U. Soergel, Uwe Stilla\",\"doi\":\"10.1109/ICPR.2002.1048377\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"InSAR data are used to recognise large industrial building complexes. Such buildings often show salient regular patterns of strong scatterers on their roofs. A previous segmentation which uses the intensity, height and coherence information extracts building cues. Strong scatterers are filtered by a spot detector and localised by a cluster formation. Strong scatterers are grouped in rows by a process that uses the contours of the building cues as context. Stich buildings are labelled as industrial buildings and serve as seeds to assemble adjacent buildings into complex structured building aggregates. The structure of the grouping process is depicted by a production net.\",\"PeriodicalId\":159502,\"journal\":{\"name\":\"Object recognition supported by user interaction for service robots\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Object recognition supported by user interaction for service robots\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.2002.1048377\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Object recognition supported by user interaction for service robots","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.2002.1048377","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Grouping salient scatterers in InSAR data for recognition of industrial buildings
InSAR data are used to recognise large industrial building complexes. Such buildings often show salient regular patterns of strong scatterers on their roofs. A previous segmentation which uses the intensity, height and coherence information extracts building cues. Strong scatterers are filtered by a spot detector and localised by a cluster formation. Strong scatterers are grouped in rows by a process that uses the contours of the building cues as context. Stich buildings are labelled as industrial buildings and serve as seeds to assemble adjacent buildings into complex structured building aggregates. The structure of the grouping process is depicted by a production net.