Positioning Technology Without Ground Control Points for Spaceborne Synthetic Aperture Radar Images Using Rational Polynomial Coefficient Model Considering Atmospheric Delay
This study addresses the issue of atmospheric delay correction for the rational polynomial coefficient (RPC) model associated with spaceborne synthetic aperture radar (SAR) imagery under conditions lacking ephemeris data, proposing a novel approach to enhance the geometric positioning accuracy of RP...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/3/1615 |
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| author | Doudou Hu Chunquan Cheng Shucheng Yang Chengxi Hu |
| author_facet | Doudou Hu Chunquan Cheng Shucheng Yang Chengxi Hu |
| author_sort | Doudou Hu |
| collection | DOAJ |
| description | This study addresses the issue of atmospheric delay correction for the rational polynomial coefficient (RPC) model associated with spaceborne synthetic aperture radar (SAR) imagery under conditions lacking ephemeris data, proposing a novel approach to enhance the geometric positioning accuracy of RPC models. A satellite position inversion method based on the vector-autonomous intersection technique was developed, incorporating ionospheric delay and neutral atmospheric delay models to derive atmospheric delay errors. Additionally, an RPC model reconstruction approach, which integrates atmospheric correction, is proposed. Validation experiments using GF-3 satellite imagery demonstrated that the atmospheric delay values obtained by this method differed by only 0.0001 m from those derived using the traditional ephemeris-based approach, a negligible difference. The method also exhibited high robustness in long-strip imagery. The reconstructed RPC parameters improved image-space accuracy by 18–44% and object-space accuracy by 19–32%. The results indicate that this approach can fully replace traditional ephemeris-based methods for atmospheric delay extraction under ephemeris-free conditions, significantly enhancing the geometric positioning accuracy of SAR imagery RPC models, with substantial application value and development potential. |
| format | Article |
| id | doaj-art-e98e2c98a5734ff58acb76fcc845b56e |
| institution | DOAJ |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-e98e2c98a5734ff58acb76fcc845b56e2025-08-20T02:48:06ZengMDPI AGApplied Sciences2076-34172025-02-01153161510.3390/app15031615Positioning Technology Without Ground Control Points for Spaceborne Synthetic Aperture Radar Images Using Rational Polynomial Coefficient Model Considering Atmospheric DelayDoudou Hu0Chunquan Cheng1Shucheng Yang2Chengxi Hu3Chinese Academy of Surveying and Mapping, Beijing 100036, ChinaChinese Academy of Surveying and Mapping, Beijing 100036, ChinaChinese Academy of Surveying and Mapping, Beijing 100036, ChinaChinese Academy of Surveying and Mapping, Beijing 100036, ChinaThis study addresses the issue of atmospheric delay correction for the rational polynomial coefficient (RPC) model associated with spaceborne synthetic aperture radar (SAR) imagery under conditions lacking ephemeris data, proposing a novel approach to enhance the geometric positioning accuracy of RPC models. A satellite position inversion method based on the vector-autonomous intersection technique was developed, incorporating ionospheric delay and neutral atmospheric delay models to derive atmospheric delay errors. Additionally, an RPC model reconstruction approach, which integrates atmospheric correction, is proposed. Validation experiments using GF-3 satellite imagery demonstrated that the atmospheric delay values obtained by this method differed by only 0.0001 m from those derived using the traditional ephemeris-based approach, a negligible difference. The method also exhibited high robustness in long-strip imagery. The reconstructed RPC parameters improved image-space accuracy by 18–44% and object-space accuracy by 19–32%. The results indicate that this approach can fully replace traditional ephemeris-based methods for atmospheric delay extraction under ephemeris-free conditions, significantly enhancing the geometric positioning accuracy of SAR imagery RPC models, with substantial application value and development potential.https://www.mdpi.com/2076-3417/15/3/1615spaceborne SARRPC modelatmospheric delaysatellite position inversionatmospheric correctionpositioning |
| spellingShingle | Doudou Hu Chunquan Cheng Shucheng Yang Chengxi Hu Positioning Technology Without Ground Control Points for Spaceborne Synthetic Aperture Radar Images Using Rational Polynomial Coefficient Model Considering Atmospheric Delay Applied Sciences spaceborne SAR RPC model atmospheric delay satellite position inversion atmospheric correction positioning |
| title | Positioning Technology Without Ground Control Points for Spaceborne Synthetic Aperture Radar Images Using Rational Polynomial Coefficient Model Considering Atmospheric Delay |
| title_full | Positioning Technology Without Ground Control Points for Spaceborne Synthetic Aperture Radar Images Using Rational Polynomial Coefficient Model Considering Atmospheric Delay |
| title_fullStr | Positioning Technology Without Ground Control Points for Spaceborne Synthetic Aperture Radar Images Using Rational Polynomial Coefficient Model Considering Atmospheric Delay |
| title_full_unstemmed | Positioning Technology Without Ground Control Points for Spaceborne Synthetic Aperture Radar Images Using Rational Polynomial Coefficient Model Considering Atmospheric Delay |
| title_short | Positioning Technology Without Ground Control Points for Spaceborne Synthetic Aperture Radar Images Using Rational Polynomial Coefficient Model Considering Atmospheric Delay |
| title_sort | positioning technology without ground control points for spaceborne synthetic aperture radar images using rational polynomial coefficient model considering atmospheric delay |
| topic | spaceborne SAR RPC model atmospheric delay satellite position inversion atmospheric correction positioning |
| url | https://www.mdpi.com/2076-3417/15/3/1615 |
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