Geometric Self-Calibration of YaoGan-13 Images Using Multiple Overlapping Images
Geometric calibration is an important means of improving the absolute positioning accuracy of space-borne synthetic aperture radar imagery. The conventional calibration method is based on a calibration field, which is simple and convenient, but requires a great deal of manpower and material resource...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/10/2367 |
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| author | Guo Zhang Mingjun Deng Chenglin Cai Ruishan Zhao |
| author_facet | Guo Zhang Mingjun Deng Chenglin Cai Ruishan Zhao |
| author_sort | Guo Zhang |
| collection | DOAJ |
| description | Geometric calibration is an important means of improving the absolute positioning accuracy of space-borne synthetic aperture radar imagery. The conventional calibration method is based on a calibration field, which is simple and convenient, but requires a great deal of manpower and material resources to obtain ground control points. Although newer cross-calibration methods do not require ground control points, calibration accuracy still depends on a periodically updated reference image. Accordingly, this study proposes a geometric self-calibration method based on the positioning consistency constraint of conjugate image points to provide rapid and accurate calibration of the YaoGan-13 satellite. The proposed method can accurately calibrate geometric parameters without requiring ground control points or high-precision reference images. To verify the absolute positioning accuracy obtained using the proposed self-calibration method, YaoGan-13 Stripmap images of multiple regions were collected and evaluated. The results indicate that high-accuracy absolute positioning can be achieved with a plane accuracy of 3.83 m or better for Stripmap data, without regarding elevation error. Compared to the conventional calibration method using high-accuracy control data, the difference between the two methods is only about 2.53 m, less than the 3-m resolution of the image, verifying the effectiveness of the proposed self-calibration method. |
| first_indexed | 2024-04-12T19:44:03Z |
| format | Article |
| id | doaj.art-3e36b35f7cbe4fdaace97afe6ab89b0e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-12T19:44:03Z |
| publishDate | 2019-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3e36b35f7cbe4fdaace97afe6ab89b0e2022-12-22T03:19:00ZengMDPI AGSensors1424-82202019-05-011910236710.3390/s19102367s19102367Geometric Self-Calibration of YaoGan-13 Images Using Multiple Overlapping ImagesGuo Zhang0Mingjun Deng1Chenglin Cai2Ruishan Zhao3State 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 Information Engineering, Xiangtan University, Xiangtan 411000, ChinaSchool of Geomatics, Liaoning Technical University, Fuxin 123000, ChinaGeometric calibration is an important means of improving the absolute positioning accuracy of space-borne synthetic aperture radar imagery. The conventional calibration method is based on a calibration field, which is simple and convenient, but requires a great deal of manpower and material resources to obtain ground control points. Although newer cross-calibration methods do not require ground control points, calibration accuracy still depends on a periodically updated reference image. Accordingly, this study proposes a geometric self-calibration method based on the positioning consistency constraint of conjugate image points to provide rapid and accurate calibration of the YaoGan-13 satellite. The proposed method can accurately calibrate geometric parameters without requiring ground control points or high-precision reference images. To verify the absolute positioning accuracy obtained using the proposed self-calibration method, YaoGan-13 Stripmap images of multiple regions were collected and evaluated. The results indicate that high-accuracy absolute positioning can be achieved with a plane accuracy of 3.83 m or better for Stripmap data, without regarding elevation error. Compared to the conventional calibration method using high-accuracy control data, the difference between the two methods is only about 2.53 m, less than the 3-m resolution of the image, verifying the effectiveness of the proposed self-calibration method.https://www.mdpi.com/1424-8220/19/10/2367YaoGan-13geometric accuracyself-calibration |
| spellingShingle | Guo Zhang Mingjun Deng Chenglin Cai Ruishan Zhao Geometric Self-Calibration of YaoGan-13 Images Using Multiple Overlapping Images Sensors YaoGan-13 geometric accuracy self-calibration |
| title | Geometric Self-Calibration of YaoGan-13 Images Using Multiple Overlapping Images |
| title_full | Geometric Self-Calibration of YaoGan-13 Images Using Multiple Overlapping Images |
| title_fullStr | Geometric Self-Calibration of YaoGan-13 Images Using Multiple Overlapping Images |
| title_full_unstemmed | Geometric Self-Calibration of YaoGan-13 Images Using Multiple Overlapping Images |
| title_short | Geometric Self-Calibration of YaoGan-13 Images Using Multiple Overlapping Images |
| title_sort | geometric self calibration of yaogan 13 images using multiple overlapping images |
| topic | YaoGan-13 geometric accuracy self-calibration |
| url | https://www.mdpi.com/1424-8220/19/10/2367 |
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