{"title":"基于ON卫星传感器模型评估的图像亚像素估计","authors":"A. Orun","doi":"10.1109/RAST.2003.1303394","DOIUrl":null,"url":null,"abstract":"Mis-registration of ground control points caused by mixed pixels are the most significant error sources in remote sensing. Even though the effects of these errors on land-cover application have been so far widely investigated, no sufficient attention has been given to their impacts on satellite sensor geometry. In this paper the effect of such errors on sensor model accuracy and the possibility of using orbital epipolarity constrains of Orun & Natarajan (ON) satellite sensor model to avoid such errors are investigated.","PeriodicalId":272869,"journal":{"name":"International Conference on Recent Advances in Space Technologies, 2003. RAST '03. Proceedings of","volume":"216 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Image subpixel estimation by evaluation of ON satellite sensor model\",\"authors\":\"A. Orun\",\"doi\":\"10.1109/RAST.2003.1303394\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mis-registration of ground control points caused by mixed pixels are the most significant error sources in remote sensing. Even though the effects of these errors on land-cover application have been so far widely investigated, no sufficient attention has been given to their impacts on satellite sensor geometry. In this paper the effect of such errors on sensor model accuracy and the possibility of using orbital epipolarity constrains of Orun & Natarajan (ON) satellite sensor model to avoid such errors are investigated.\",\"PeriodicalId\":272869,\"journal\":{\"name\":\"International Conference on Recent Advances in Space Technologies, 2003. RAST '03. Proceedings of\",\"volume\":\"216 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Recent Advances in Space Technologies, 2003. RAST '03. Proceedings of\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAST.2003.1303394\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Recent Advances in Space Technologies, 2003. RAST '03. Proceedings of","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAST.2003.1303394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image subpixel estimation by evaluation of ON satellite sensor model
Mis-registration of ground control points caused by mixed pixels are the most significant error sources in remote sensing. Even though the effects of these errors on land-cover application have been so far widely investigated, no sufficient attention has been given to their impacts on satellite sensor geometry. In this paper the effect of such errors on sensor model accuracy and the possibility of using orbital epipolarity constrains of Orun & Natarajan (ON) satellite sensor model to avoid such errors are investigated.