Geometric Processing and Accuracy Verification of Zhuhai-1 Hyperspectral Satellites
The second batch of Zhuhai-1 microsatellites was successfully launched on 26 April 2018. The batch included four Orbita hyperspectral satellites (referred to as OHS-A, OHS-B, OHS-C, and OHS-D) and one video satellite (OVS-2A), which have excellent hyperspectral data acquisition abilities. For the fi...
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MDPI AG
2019-04-01
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author | Yonghua Jiang Jingyin Wang Li Zhang Guo Zhang Xin Li Jiaqi Wu |
author_facet | Yonghua Jiang Jingyin Wang Li Zhang Guo Zhang Xin Li Jiaqi Wu |
author_sort | Yonghua Jiang |
collection | DOAJ |
description | The second batch of Zhuhai-1 microsatellites was successfully launched on 26 April 2018. The batch included four Orbita hyperspectral satellites (referred to as OHS-A, OHS-B, OHS-C, and OHS-D) and one video satellite (OVS-2A), which have excellent hyperspectral data acquisition abilities. For the first time in China, a number of hyperspectral satellite networks have been realized. To ensure the application of hyperspectral remote sensing data, a series of on-orbit geometry processing and accuracy verification studies has been carried out on the “Zhuhai-1” hyperspectral camera since the satellite was launched. This paper presents the geometric processing methods involved in the production of Zhuhai-1 hyperspectral satellite basic products, including geometric calibration and basic product production algorithms. The OHS images were used to perform on-orbit geometric calibration, and the calibration accuracy was better than 0.5 pixels. The registration accuracy of the image spectrum of the basic product after calibration, the single orientation accuracy, and the accuracy of the regional network adjustment were evaluated. The spectral registration accuracy of the OHS basic products is 0.3−0.5 pixels, which is equivalent to the spectral band calibration accuracy. The single orientation accuracy is better than 1.5 pixels and the regional network adjustment accuracy is better than 1.2 pixels. The generated area orthoimages meet the seamless edge requirements, which verifies that the OHS basic product image has good regional mapping capabilities and can meet the application requirements. |
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language | English |
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spelling | doaj.art-e0121dee680048ee87596cfd36f0c0f02022-12-21T17:17:28ZengMDPI AGRemote Sensing2072-42922019-04-0111999610.3390/rs11090996rs11090996Geometric Processing and Accuracy Verification of Zhuhai-1 Hyperspectral SatellitesYonghua Jiang0Jingyin Wang1Li Zhang2Guo Zhang3Xin Li4Jiaqi Wu5School 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, 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, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaThe second batch of Zhuhai-1 microsatellites was successfully launched on 26 April 2018. The batch included four Orbita hyperspectral satellites (referred to as OHS-A, OHS-B, OHS-C, and OHS-D) and one video satellite (OVS-2A), which have excellent hyperspectral data acquisition abilities. For the first time in China, a number of hyperspectral satellite networks have been realized. To ensure the application of hyperspectral remote sensing data, a series of on-orbit geometry processing and accuracy verification studies has been carried out on the “Zhuhai-1” hyperspectral camera since the satellite was launched. This paper presents the geometric processing methods involved in the production of Zhuhai-1 hyperspectral satellite basic products, including geometric calibration and basic product production algorithms. The OHS images were used to perform on-orbit geometric calibration, and the calibration accuracy was better than 0.5 pixels. The registration accuracy of the image spectrum of the basic product after calibration, the single orientation accuracy, and the accuracy of the regional network adjustment were evaluated. The spectral registration accuracy of the OHS basic products is 0.3−0.5 pixels, which is equivalent to the spectral band calibration accuracy. The single orientation accuracy is better than 1.5 pixels and the regional network adjustment accuracy is better than 1.2 pixels. The generated area orthoimages meet the seamless edge requirements, which verifies that the OHS basic product image has good regional mapping capabilities and can meet the application requirements.https://www.mdpi.com/2072-4292/11/9/996“Zhuhai-1” satellite constellationhyperspectralgeometric calibrationband-to-band registrationinterior orientation determination accuracyblock adjustment |
spellingShingle | Yonghua Jiang Jingyin Wang Li Zhang Guo Zhang Xin Li Jiaqi Wu Geometric Processing and Accuracy Verification of Zhuhai-1 Hyperspectral Satellites Remote Sensing “Zhuhai-1” satellite constellation hyperspectral geometric calibration band-to-band registration interior orientation determination accuracy block adjustment |
title | Geometric Processing and Accuracy Verification of Zhuhai-1 Hyperspectral Satellites |
title_full | Geometric Processing and Accuracy Verification of Zhuhai-1 Hyperspectral Satellites |
title_fullStr | Geometric Processing and Accuracy Verification of Zhuhai-1 Hyperspectral Satellites |
title_full_unstemmed | Geometric Processing and Accuracy Verification of Zhuhai-1 Hyperspectral Satellites |
title_short | Geometric Processing and Accuracy Verification of Zhuhai-1 Hyperspectral Satellites |
title_sort | geometric processing and accuracy verification of zhuhai 1 hyperspectral satellites |
topic | “Zhuhai-1” satellite constellation hyperspectral geometric calibration band-to-band registration interior orientation determination accuracy block adjustment |
url | https://www.mdpi.com/2072-4292/11/9/996 |
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