Evaluation of 3D Geo-Positioning Based on Bias-Compensated RPCs for Across-Track QuickBird Stereo Imagery

Abstract:

This paper investigates the geo-positioning accuracy of across-track QuickBird stereo imagery in Shanghai, China, where the terrain relief is very low about 3m but with very high buildings up to 380m. The rational function model (RFM) and the bias-compensated RFM with different parameters are employed to do accuracy analysis with different configurations of ground control points (GCPs). The systematic errors in vendor provided RPCs are revealed and discussed. The results of bias-compensated RFM show that different strategies in terms of the number of GCP and different geometric correction methods should be taken into consideration in order for a better and reasonable positioning accuracy in the three directions. The results also show that the best accuracy of 0.6m in horizontal direction and 0.8m in vertical direction can be acquired by the second-order polynomial model when GCPs are more than 8.

• Periodical: Applied Mechanics and Materials (Volumes 226-228)
• Pages: 1958-1964
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.226-228.1958
• Online since: November 2012
• Authors: Weian Wang, Shu Ying Xu, Gang Qiao
• Keywords: Ground Control Point (GCP), High-Resolution Satellite Imagery (HRSI), Rational Functional Model (RFM), Rational Polynomial Coefficients (RPCs), Virtual Reference Station (VRS)

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