{"title":"基于RFM的高分辨率卫星图像与矢量图的自动配准","authors":"Songbai Zou, Jianqing Zhang, Yong Zhang","doi":"10.1109/IASP.2009.5054632","DOIUrl":null,"url":null,"abstract":"This paper focuses on the automatic registration and precise positioning of high-resolution satellite images and a vector map utilizing the RPC. First, the general RFM is introduced for high-resolution satellite images, and then the methods to compensate for systemic errors of these models are stated. Experiments with SPOT-5 images are analyzed and suggest the automatic registration of high-resolution satellite images and a vector map is feasible, and the positioning precision satisfies the surveying requirements of small or medium-scale topographical maps.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"56 13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The automatic registration between high resolution satellite images and a vector map based on RFM\",\"authors\":\"Songbai Zou, Jianqing Zhang, Yong Zhang\",\"doi\":\"10.1109/IASP.2009.5054632\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on the automatic registration and precise positioning of high-resolution satellite images and a vector map utilizing the RPC. First, the general RFM is introduced for high-resolution satellite images, and then the methods to compensate for systemic errors of these models are stated. Experiments with SPOT-5 images are analyzed and suggest the automatic registration of high-resolution satellite images and a vector map is feasible, and the positioning precision satisfies the surveying requirements of small or medium-scale topographical maps.\",\"PeriodicalId\":143959,\"journal\":{\"name\":\"2009 International Conference on Image Analysis and Signal Processing\",\"volume\":\"56 13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Image Analysis and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IASP.2009.5054632\",\"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 International Conference on Image Analysis and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IASP.2009.5054632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The automatic registration between high resolution satellite images and a vector map based on RFM
This paper focuses on the automatic registration and precise positioning of high-resolution satellite images and a vector map utilizing the RPC. First, the general RFM is introduced for high-resolution satellite images, and then the methods to compensate for systemic errors of these models are stated. Experiments with SPOT-5 images are analyzed and suggest the automatic registration of high-resolution satellite images and a vector map is feasible, and the positioning precision satisfies the surveying requirements of small or medium-scale topographical maps.
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