{"title":"机载SAR图像几何校正的三维多项式模型","authors":"Jingjing Song, Jingjuan Liao","doi":"10.1117/12.910393","DOIUrl":null,"url":null,"abstract":"Terrain undulations have significant influence on the geometric and radiometric quality of high-resolution airborne synthetic aperture radar images. The correction of these effects becomes indispensable before image analyzing. The paper presents a new approach to the geometric correction under unknown parameters of the SAR imaging geometry. Using a three-dimensional (3D) polynomial model, the image of the testing area is geo-corrected. The selection of polynomial order is emphasized. The best appropriate polynomial order for testing area is selected after testing nine different polynomial orders which are 1-1-0, 1-1-1, 2-2-0, 2-2-1, 2-2-2, 3-3-0, 3-3-1, 3-3-2, 3-3-3. The resulting image is a fully terrain corrected one and could be used for real-time monitoring and evaluating emergencies (e.g., hurricanes or earthquakes).","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A 3-dimensional polynomial model for geometric corrections of airborne SAR images\",\"authors\":\"Jingjing Song, Jingjuan Liao\",\"doi\":\"10.1117/12.910393\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Terrain undulations have significant influence on the geometric and radiometric quality of high-resolution airborne synthetic aperture radar images. The correction of these effects becomes indispensable before image analyzing. The paper presents a new approach to the geometric correction under unknown parameters of the SAR imaging geometry. Using a three-dimensional (3D) polynomial model, the image of the testing area is geo-corrected. The selection of polynomial order is emphasized. The best appropriate polynomial order for testing area is selected after testing nine different polynomial orders which are 1-1-0, 1-1-1, 2-2-0, 2-2-1, 2-2-2, 3-3-0, 3-3-1, 3-3-2, 3-3-3. The resulting image is a fully terrain corrected one and could be used for real-time monitoring and evaluating emergencies (e.g., hurricanes or earthquakes).\",\"PeriodicalId\":340728,\"journal\":{\"name\":\"China Symposium on Remote Sensing\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"China Symposium on Remote Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.910393\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"China Symposium on Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.910393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A 3-dimensional polynomial model for geometric corrections of airborne SAR images
Terrain undulations have significant influence on the geometric and radiometric quality of high-resolution airborne synthetic aperture radar images. The correction of these effects becomes indispensable before image analyzing. The paper presents a new approach to the geometric correction under unknown parameters of the SAR imaging geometry. Using a three-dimensional (3D) polynomial model, the image of the testing area is geo-corrected. The selection of polynomial order is emphasized. The best appropriate polynomial order for testing area is selected after testing nine different polynomial orders which are 1-1-0, 1-1-1, 2-2-0, 2-2-1, 2-2-2, 3-3-0, 3-3-1, 3-3-2, 3-3-3. The resulting image is a fully terrain corrected one and could be used for real-time monitoring and evaluating emergencies (e.g., hurricanes or earthquakes).