Geolocation Accuracy Validation of High-Resolution SAR Satellite Images Based on the Xianning Validation Field
The geolocation accuracy of Synthetic Aperture Radar (SAR) images is crucial for their application in various industries. Five high-resolution SAR satellites, namely ALOS, TerraSAR-X, Cosmo-SkyMed, RadarSat-2, and Chinese YG-3, provide a vast amount of image data for research purposes, although thei...
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| Format: | Article |
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MDPI AG
2023-03-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/7/1794 |
| _version_ | 1797607157210808320 |
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| author | Boyang Jiang Xiaohuan Dong Mingjun Deng Fangqi Wan Taoyang Wang Xin Li Guo Zhang Qian Cheng Shuying Lv |
| author_facet | Boyang Jiang Xiaohuan Dong Mingjun Deng Fangqi Wan Taoyang Wang Xin Li Guo Zhang Qian Cheng Shuying Lv |
| author_sort | Boyang Jiang |
| collection | DOAJ |
| description | The geolocation accuracy of Synthetic Aperture Radar (SAR) images is crucial for their application in various industries. Five high-resolution SAR satellites, namely ALOS, TerraSAR-X, Cosmo-SkyMed, RadarSat-2, and Chinese YG-3, provide a vast amount of image data for research purposes, although their geometric accuracies differ despite similar resolutions. To evaluate and compare the geometric accuracy of these satellites under the same ground control reference, a validation field was established in Xianning, China. The rational function model (RFM) was used to analyze the geometric performance of the five satellites based on the Xianning validation field. The study showed that each image could achieve sub-pixel positioning accuracy in range and azimuth direction when four ground control points (GCPs) were placed in the corners, resulting in a root mean square error (RMSE) of 1.5 pixels. The study also highlighted the effectiveness of an automated GCP-matching approach to mitigate manual identification of points in SAR images, and results demonstrate that the five SAR satellite images can all achieve sub-pixel positioning accuracy in range and azimuth direction when four GCPs are used. Overall, the verification results provide a reference for SAR satellite systems’ designs, calibrations, and various remote sensing activities. |
| first_indexed | 2024-03-11T05:26:16Z |
| format | Article |
| id | doaj.art-e347d36caa7342898a3aec947d611396 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T05:26:16Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-e347d36caa7342898a3aec947d6113962023-11-17T17:29:02ZengMDPI AGRemote Sensing2072-42922023-03-01157179410.3390/rs15071794Geolocation Accuracy Validation of High-Resolution SAR Satellite Images Based on the Xianning Validation FieldBoyang Jiang0Xiaohuan Dong1Mingjun Deng2Fangqi Wan3Taoyang Wang4Xin Li5Guo Zhang6Qian Cheng7Shuying Lv8State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Geo-Information Engineering, Xi’an 710054, ChinaSchool of Information Engineering, Xiangtan University, Xiangtan 411000, ChinaJiangxi Institute of Natural Resources Mapping and Monitoring, Nanchang 330000, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Aerospace Engineering, Beijing Institute of Technology, Beijing 100000, ChinaThe geolocation accuracy of Synthetic Aperture Radar (SAR) images is crucial for their application in various industries. Five high-resolution SAR satellites, namely ALOS, TerraSAR-X, Cosmo-SkyMed, RadarSat-2, and Chinese YG-3, provide a vast amount of image data for research purposes, although their geometric accuracies differ despite similar resolutions. To evaluate and compare the geometric accuracy of these satellites under the same ground control reference, a validation field was established in Xianning, China. The rational function model (RFM) was used to analyze the geometric performance of the five satellites based on the Xianning validation field. The study showed that each image could achieve sub-pixel positioning accuracy in range and azimuth direction when four ground control points (GCPs) were placed in the corners, resulting in a root mean square error (RMSE) of 1.5 pixels. The study also highlighted the effectiveness of an automated GCP-matching approach to mitigate manual identification of points in SAR images, and results demonstrate that the five SAR satellite images can all achieve sub-pixel positioning accuracy in range and azimuth direction when four GCPs are used. Overall, the verification results provide a reference for SAR satellite systems’ designs, calibrations, and various remote sensing activities.https://www.mdpi.com/2072-4292/15/7/1794geometric accuracyevaluationhigh-resolution SAR satellite images |
| spellingShingle | Boyang Jiang Xiaohuan Dong Mingjun Deng Fangqi Wan Taoyang Wang Xin Li Guo Zhang Qian Cheng Shuying Lv Geolocation Accuracy Validation of High-Resolution SAR Satellite Images Based on the Xianning Validation Field Remote Sensing geometric accuracy evaluation high-resolution SAR satellite images |
| title | Geolocation Accuracy Validation of High-Resolution SAR Satellite Images Based on the Xianning Validation Field |
| title_full | Geolocation Accuracy Validation of High-Resolution SAR Satellite Images Based on the Xianning Validation Field |
| title_fullStr | Geolocation Accuracy Validation of High-Resolution SAR Satellite Images Based on the Xianning Validation Field |
| title_full_unstemmed | Geolocation Accuracy Validation of High-Resolution SAR Satellite Images Based on the Xianning Validation Field |
| title_short | Geolocation Accuracy Validation of High-Resolution SAR Satellite Images Based on the Xianning Validation Field |
| title_sort | geolocation accuracy validation of high resolution sar satellite images based on the xianning validation field |
| topic | geometric accuracy evaluation high-resolution SAR satellite images |
| url | https://www.mdpi.com/2072-4292/15/7/1794 |
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