{"title":"高分辨率遥感影像半自动道路提取:综述与展望","authors":"Yibo Li, Lili Xu, Hui Piao","doi":"10.1109/HIS.2009.317","DOIUrl":null,"url":null,"abstract":"Road extraction is one of the most active research fields in information extraction from high-resolution remote sensing images. It is not only of great theoretical value, but also of a broad prospect. This paper describes the general approaches of Semi-Automated Road Extraction, presents the latest research work and the typical methods from all over the world and analyzes its characteristics. Finally the research fields of Semi-Automated Road Extraction studies are also recommended.","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Semi-automatic Road Extraction from High-Resolution Remote Sensing Image: Review and Prospects\",\"authors\":\"Yibo Li, Lili Xu, Hui Piao\",\"doi\":\"10.1109/HIS.2009.317\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Road extraction is one of the most active research fields in information extraction from high-resolution remote sensing images. It is not only of great theoretical value, but also of a broad prospect. This paper describes the general approaches of Semi-Automated Road Extraction, presents the latest research work and the typical methods from all over the world and analyzes its characteristics. Finally the research fields of Semi-Automated Road Extraction studies are also recommended.\",\"PeriodicalId\":414085,\"journal\":{\"name\":\"2009 Ninth International Conference on Hybrid Intelligent Systems\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Ninth International Conference on Hybrid Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HIS.2009.317\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Ninth International Conference on Hybrid Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HIS.2009.317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Semi-automatic Road Extraction from High-Resolution Remote Sensing Image: Review and Prospects
Road extraction is one of the most active research fields in information extraction from high-resolution remote sensing images. It is not only of great theoretical value, but also of a broad prospect. This paper describes the general approaches of Semi-Automated Road Extraction, presents the latest research work and the typical methods from all over the world and analyzes its characteristics. Finally the research fields of Semi-Automated Road Extraction studies are also recommended.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
