Improvement and Assessment of the Absolute Positioning Accuracy of Chinese High-Resolution SAR Satellites

Autor: Mingjun Deng, Guo Zhang, Chenglin Cai, Kai Xu, Ruishan Zhao, Fengchen Guo, Jing Suo
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Remote Sensing, Vol 11, Iss 12, p 1465 (2019)
Druh dokumentu: article
ISSN: 2072-4292
DOI: 10.3390/rs11121465
Popis: In recent years, China has launched YaoGan-13 and GaoFen-3, high-resolution synthetic aperture radar (SAR) satellites that can acquire global high-resolution images. The absolute positioning accuracy of such satellites is important for mapping areas without ground reference points and for automated processing. However, satellites without geometric calibration have poor absolute positioning accuracy, greatly restricting their application (e.g., land resource surveys). Therefore, they cannot meet national demands for high-resolution SAR images with good geometric accuracy. Here, we propose a series of methods to improve the absolute positioning accuracy of YaoGan-13 and GaoFen-3, such as the multiple-image combined calibration strategy and geometric calibration model for a real continuously moving configuration, including consideration of atmospheric propagation delay. Using high-accuracy ground control data collected from different areas, the 2-D and 3-D absolute positioning accuracies of YaoGan-13 and GaoFen-3 were assessed after implementation of the improvement measures. Experimental results showed that, after calibration, the 2-D absolute positioning accuracy of YaoGan-13 and GaoFen-3 are improved from 43.86 m to 2.57 m and from 30.34 m to 4.29 m, respectively. In addition, the 3-D absolute positioning accuracies of YaoGan-13 in plane and elevation are 3.21 m and 2.22 m, respectively. Improving the absolute positioning accuracy of these satellites could broaden the scope of their potential applications in the future.
Databáze: Directory of Open Access Journals
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