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Exterior orientation elements' Bayesian estimation model under insufficient ground control points

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3 Author(s)
Xiaobo Luo ; State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese, Academy of Sciences and Beijing Normal University Beijing, China ; Qiang Liu ; Qinhuo Liu

It is crucial to estimate the exterior orientation elements accurately when carrying out geometric positioning based on geometric imaging model. Currently, least-squares method is widely adopted for the estimation of exterior orientation elements. However, in the absence of sufficient ground control points, least-squares estimation is not convergent. Therefore, we proposed a Bayesian estimation model for inversing exterior orientation elements in case of insufficient ground control points. In this study, according to scanning imaging mechanism, a geometric imaging model of geostationary satellites was established. A detailed theoretical inference of Bayesian estimation was then carried out from the geometry imaging model. A simulation experiment was finally conducted using randomly simulated ground control points. The experimental results showed that, in case of few ground control points, Bayesian estimation could also get accurate exterior orientation elements and had good positioning accuracy as well.

Published in:

2010 18th International Conference on Geoinformatics

Date of Conference:

18-20 June 2010