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Proceedings Paper

Geometric accuracy improvement and verification of remote sensing image product for the ZY-3 surveying and mapping satellite
Author(s): Xia Wang; Ping Zhou; Li Guo
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Paper Abstract

Based on the geometric characteristic of ZY3 surveying and mapping satellite, this paper analyses the main error sources of the geometric accuracy of ZY3 satellite image product, and proposes a key technique to improve the accuracy of geometric positioning of ZY-3 satellite image products without the Ground Control Points. Firstly, 556 ZY-3 satellite images distributed in the central western China, with an area of 350 million km2, were used for the planar positioning accuracy verification. The results show that the planar accuracy of ZY-3 image without the GCPs is about 10.8 meters (1σ), and more than 96.9% of experimental image without the GCPs have the planar accuracy higher than 25 meters. Subsequently, the Digital Surface Model (DSM) produced by the ZY-3 three linear array image in Shanxi without the GCPs and the high-precise Lidar-DEM were compared. The comparison shows that overall vertical accuracy of DSM is higher than 6 meters (1σ), and higher than 5.5 and 6.4 meters (1σ) in plane and mountainous area respectively. So the validation confirmed the overall accuracy of ZY-3 satellite images, indicating that ZY-3 satellite can achieve a higher geometric accuracy.

Paper Details

Date Published: 9 December 2015
PDF: 16 pages
Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 980827 (9 December 2015); doi: 10.1117/12.2222199
Show Author Affiliations
Xia Wang, National Administration of Surveying, Mapping and Geo-information (China)
Ping Zhou, National Administration of Surveying, Mapping and Geo-information (China)
Jiangsu Ctr. for Collaborative Innovation in Geographical Info. Resource Development and Application (China)
Li Guo, National Administration of Surveying, Mapping and Geo-information (China)


Published in SPIE Proceedings Vol. 9808:
International Conference on Intelligent Earth Observing and Applications 2015
Guoqing Zhou; Chuanli Kang, Editor(s)

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