{"title":"农村道路提取方案及其评价","authors":"S. Hinz, C. Wiedemann, A. Baumgartner","doi":"10.1109/WACV.2000.895414","DOIUrl":null,"url":null,"abstract":"We propose a scheme for road extraction in rural areas that integrates three different modules with specific strengths. The first module employs local grouping and uses multiple scales and contest to reliably extract most parts of the road network. To connect these parts, the second module exploits the network characteristics of roads for global grouping. The third module completes the network based on an analysis of path lengths within and between connected components of the network. An evaluation of the results shows that the system benefits from the integration of different types of knowledge within the road extraction scheme.","PeriodicalId":306720,"journal":{"name":"Proceedings Fifth IEEE Workshop on Applications of Computer Vision","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"A scheme for road extraction in rural areas and its evaluation\",\"authors\":\"S. Hinz, C. Wiedemann, A. Baumgartner\",\"doi\":\"10.1109/WACV.2000.895414\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a scheme for road extraction in rural areas that integrates three different modules with specific strengths. The first module employs local grouping and uses multiple scales and contest to reliably extract most parts of the road network. To connect these parts, the second module exploits the network characteristics of roads for global grouping. The third module completes the network based on an analysis of path lengths within and between connected components of the network. An evaluation of the results shows that the system benefits from the integration of different types of knowledge within the road extraction scheme.\",\"PeriodicalId\":306720,\"journal\":{\"name\":\"Proceedings Fifth IEEE Workshop on Applications of Computer Vision\",\"volume\":\"133 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Fifth IEEE Workshop on Applications of Computer Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WACV.2000.895414\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Fifth IEEE Workshop on Applications of Computer Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WACV.2000.895414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A scheme for road extraction in rural areas and its evaluation
We propose a scheme for road extraction in rural areas that integrates three different modules with specific strengths. The first module employs local grouping and uses multiple scales and contest to reliably extract most parts of the road network. To connect these parts, the second module exploits the network characteristics of roads for global grouping. The third module completes the network based on an analysis of path lengths within and between connected components of the network. An evaluation of the results shows that the system benefits from the integration of different types of knowledge within the road extraction scheme.
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