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Geometric Accuracy Evaluation of YG ‐18 Satellite Imagery Based on RFM
Author(s) -
Zhao Ruishan,
Jiang Yonghua,
Zhang Guo,
Deng Mingjun,
Yang Fan
Publication year - 2017
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/phor.12179
Subject(s) - orthophoto , digital surface , satellite , digital elevation model , remote sensing , affine transformation , computer science , synthetic aperture radar , artificial intelligence , computer vision , transformation (genetics) , ground sample distance , geography , satellite imagery , pixel , mathematics , lidar , engineering , biochemistry , chemistry , gene , pure mathematics , aerospace engineering
YaoGan‐18 ( YG ‐18) is a Chinese high‐resolution synthetic aperture radar ( SAR ) satellite, which was launched on 29th October 2013. So far, however, there have been no published reports evaluating the geometric accuracy of its imagery; this is rectified in this paper. A refined rational function model ( RFM ) with an affine transformation is utilised for the spaceborne SAR processing. By setting corner reflectors as ground control points ( GCP s) and independent check points, the orthorectification accuracy of YG ‐18 satellite images was better than 2·5 m. Its stereo‐ SAR measurement accuracy was subsequently evaluated using a high‐precision digital surface model ( DSM ), achieving an elevation accuracy of 11·36 m. The feasibility of the orthorectification method based on GCP s selected from corresponding image points of YG ‐18 SAR images and ZiYuan‐3 ( ZY ‐3) optical images was also verified, offering single‐image accuracy better than 4·5 m.
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