{"title":"基于相关函数法的InSAR复合图像配准","authors":"Yeke Tang, Jinyi Zhang, Zhihang Chen, Zhaoyang Zeng, Sili Wu, Hui Wang","doi":"10.1109/CISS57580.2022.9971402","DOIUrl":null,"url":null,"abstract":"InSAR technology is to extract the surface deformation and DEM elevation information from the phase difference and spatial distance difference of complex data obtained by SAR observation of the same ground object twice. SAR complex image registration is a key step in interferometric SAR data processing. Because SAR data is complex and has the characteristics of high speckle noise, SAR image registration is far more difficult than optical image registration. In order to obtain high quality phase information, the registration accuracy between image pairs needs to reach sub-pixel level. InSAR complex image registration algorithm based on correlation function method is adopted in this paper. Correlation function is a robust and universal measure function for interferometric SAR image registration. According to the real and complex correlation calculation of correlation functions, the adaptation of real and complex correlation functions was analyzed, and the registration sensitivity and coherence coefficient were calculated. For the real SAR data of complex crater, the experimental results show that the algorithm has good performance and can effectively improve the registration accuracy.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"2000 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"InSAR complex image registration based on correlation function method\",\"authors\":\"Yeke Tang, Jinyi Zhang, Zhihang Chen, Zhaoyang Zeng, Sili Wu, Hui Wang\",\"doi\":\"10.1109/CISS57580.2022.9971402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"InSAR technology is to extract the surface deformation and DEM elevation information from the phase difference and spatial distance difference of complex data obtained by SAR observation of the same ground object twice. SAR complex image registration is a key step in interferometric SAR data processing. Because SAR data is complex and has the characteristics of high speckle noise, SAR image registration is far more difficult than optical image registration. In order to obtain high quality phase information, the registration accuracy between image pairs needs to reach sub-pixel level. InSAR complex image registration algorithm based on correlation function method is adopted in this paper. Correlation function is a robust and universal measure function for interferometric SAR image registration. According to the real and complex correlation calculation of correlation functions, the adaptation of real and complex correlation functions was analyzed, and the registration sensitivity and coherence coefficient were calculated. For the real SAR data of complex crater, the experimental results show that the algorithm has good performance and can effectively improve the registration accuracy.\",\"PeriodicalId\":331510,\"journal\":{\"name\":\"2022 3rd China International SAR Symposium (CISS)\",\"volume\":\"2000 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd China International SAR Symposium (CISS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISS57580.2022.9971402\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd China International SAR Symposium (CISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISS57580.2022.9971402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
InSAR complex image registration based on correlation function method
InSAR technology is to extract the surface deformation and DEM elevation information from the phase difference and spatial distance difference of complex data obtained by SAR observation of the same ground object twice. SAR complex image registration is a key step in interferometric SAR data processing. Because SAR data is complex and has the characteristics of high speckle noise, SAR image registration is far more difficult than optical image registration. In order to obtain high quality phase information, the registration accuracy between image pairs needs to reach sub-pixel level. InSAR complex image registration algorithm based on correlation function method is adopted in this paper. Correlation function is a robust and universal measure function for interferometric SAR image registration. According to the real and complex correlation calculation of correlation functions, the adaptation of real and complex correlation functions was analyzed, and the registration sensitivity and coherence coefficient were calculated. For the real SAR data of complex crater, the experimental results show that the algorithm has good performance and can effectively improve the registration accuracy.