Exterior Orientation Elements Bayesian Estimation Model Under Insufficient Ground Control Points
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.
Geostationary Satellite:exterior orientation elements:Bayesian:Insufficient Ground Control Points
Xiaobo Luo Qiang Liu Qinhuo Liu
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
国际会议
The 18th International Conference on Geoinformatics(第18届国际地理信息科学与技术大会 Geoinformatics 2010)
北京
英文
2627-2631
2010-06-18（万方平台首次上网日期，不代表论文的发表时间）