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Proceedings Paper

Modeling and testing of geometric processing model based on double baselines stereo photogrammetric system
Author(s): Yingbo Li; Sisi Zhao; Bin Hu; Haibo Zhao; Jinping He; Xuemin Zhao
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Paper Abstract

Aimed at key problems the system of 1:5000 scale space stereo mapping and the shortage of the surveying capability of urban area, in regard of the performance index and the surveying systems of the existing domestic optical mapping satellites are unable to meet the demand of the large scale stereo mapping, it is urgent to develop the very high accuracy space photogrammetric satellite system which has a 1:5000 scale (or larger).The new surveying systems of double baseline stereo photogrammetric mode with combined of linear array sensor and area array sensor was proposed, which aims at solving the problems of barriers, distortions and radiation differences in complex ground object mapping for the existing space stereo mapping technology. Based on collinearity equation, double baseline stereo photogrammetric method and the model of combined adjustment were presented, systematic error compensation for this model was analyzed, position precision of double baseline stereo photogrammetry based on both simulated images and images acquired under lab conditions was studied. The laboratory tests showed that camera geometric calibration accuracy is better than 1μm, the height positioning accuracy is better than 1.5GSD with GCPs. The results showed that the mode of combined of one linear array sensor and one plane array sensor had higher positioning precision. Explore the new system of 1:5000 scale very high accuracy space stereo mapping can provide available new technologies and strategies for achieving demotic very high accuracy space stereo mapping.

Paper Details

Date Published: 5 October 2017
PDF: 9 pages
Proc. SPIE 10428, Earth Resources and Environmental Remote Sensing/GIS Applications VIII, 1042813 (5 October 2017); doi: 10.1117/12.2278381
Show Author Affiliations
Yingbo Li, Beijing Institute of Space Mechanics and Electricity (China)
Sisi Zhao, Beijing Institute of Space Mechanics and Electricity (China)
Bin Hu, Beijing Institute of Space Mechanics and Electricity (China)
Haibo Zhao, Beijing Institute of Space Mechanics and Electricity (China)
Jinping He, Beijing Institute of Space Mechanics and Electricity (China)
Xuemin Zhao, Beijing Institute of Space Mechanics and Electricity (China)


Published in SPIE Proceedings Vol. 10428:
Earth Resources and Environmental Remote Sensing/GIS Applications VIII
Ulrich Michel; Karsten Schulz, Editor(s)

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