{"title":"基于光谱特征和GIS辅助信息的居住区提取","authors":"Yuan Mingyang, Meng Fei, Xu Qiuxiao","doi":"10.1109/ICACTE.2010.5579375","DOIUrl":null,"url":null,"abstract":"Residential areas are the gathering of human activities. It has great significance to master the spatial distribution information timely and accurately by RS in disaster assessment, urban expansion and environmental change research. In this paper, taking Longkou city as an example, we find corresponding models to quickly extract residential areas by studying the image features, spatial features and spatial relations, furthermore, we use the spectral characteristics and GIS information to build knowledge base for the extraction.","PeriodicalId":255806,"journal":{"name":"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Residential areas extraction based on the spectral characteristics and GIS assistant information\",\"authors\":\"Yuan Mingyang, Meng Fei, Xu Qiuxiao\",\"doi\":\"10.1109/ICACTE.2010.5579375\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Residential areas are the gathering of human activities. It has great significance to master the spatial distribution information timely and accurately by RS in disaster assessment, urban expansion and environmental change research. In this paper, taking Longkou city as an example, we find corresponding models to quickly extract residential areas by studying the image features, spatial features and spatial relations, furthermore, we use the spectral characteristics and GIS information to build knowledge base for the extraction.\",\"PeriodicalId\":255806,\"journal\":{\"name\":\"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACTE.2010.5579375\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACTE.2010.5579375","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Residential areas extraction based on the spectral characteristics and GIS assistant information
Residential areas are the gathering of human activities. It has great significance to master the spatial distribution information timely and accurately by RS in disaster assessment, urban expansion and environmental change research. In this paper, taking Longkou city as an example, we find corresponding models to quickly extract residential areas by studying the image features, spatial features and spatial relations, furthermore, we use the spectral characteristics and GIS information to build knowledge base for the extraction.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
