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遥感技术与应用  2003, Vol. 18 Issue (1): 14-18    DOI: 10.11873/j.issn.1004-0323.2003.1.14
图像处理     
主成分估计用于解算卫星线阵CCD影像外方位元素
归庆明1,2,郭海涛2,郭建锋2,张国芹2
(1.中国科学院测量与地球物理研究所,湖北 武汉 430077;2.信息工程大学理学院,河南 郑州 450052)
Computing the Exterior Orientation Elements of One-line Scanner Satellitic Imagery By Using Principal Component Estimation
GUI Qing-ming1,2, GUO Hai-tao2, GUO Jian-feng2, ZHANG Guo-qin
(1.Institute of Geodesy and Geophysics,Chinese Academy of Sciences,Wuhan430077,China;
 全文: PDF 
摘要:

在航天摄影测量卫星线阵CCD影像的外方位元素解算中,经常产生严重的病态性问题,如果采用最小二乘原理解算,其解明显偏离真值,甚至无法求得外方位元素,在分析以往解决办法的基础上,引入主成分估计来解算,并根据外方位元素解算问题的实际,提出了确定主成分估计中偏参数的3种方法,实验证明该方法稳定、有效。
 

关键词: 外方位元素病态性有偏估计奇异值分解      
Abstract:

The ill-conditioning often occur on computing the exterior orientation elements of satellite oneline scanner imagery in space photogrammetry or satellite photogrammetry. If least squares estimation method is used, the true values of the exterior orientation elements of satellite one-line scanner imagery might not be gotten. In fact, the ill-conditioning does have an unusually large effect on the LS estimation and can deteriorate results completely. In such a case, we need to further improve the calculation procedures on computing the exterior orientation elements of satellite oneline scanner imagery by using the recently developed biased estimation theory in modern statistics. To overcome the difficulties caused by illconditioning, first, this paper analyses previous methods of solving this problem. Then, the principal component estimator method is introduced to directly combat ill-conditioning in computing the exterior orientation elements of satellite one-line scanner imagery. According to practical situations, the three meth-
ods of choosing the biased parameter contained in the principal component estimator is also provided in this paper. Experimental results show that in some cases, the proposed principal component estimator can overcome ill-conditioning effectively and this method is very steady and effective.

Key words: Exterior orientation elements    I11-conditioning    Biased estimation    Singular value decomposition
收稿日期: 2002-02-06 出版日期: 2011-11-23
:  TP 75  
基金资助:

国家杰出青年科学基金项目(49825107;40125013);国家自然科学基金项目(40074006);河南省自然科学基金项目
(004051300)。

作者简介: 归庆明(1960-),男,教授,目前主要从事应用数学与测量数据处理方面的工作。
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引用本文:

归庆明,郭海涛,郭建锋,张国芹. 主成分估计用于解算卫星线阵CCD影像外方位元素[J]. 遥感技术与应用, 2003, 18(1): 14-18.

GUI Qing-ming, GUO Hai-tao, GUO Jian-feng, ZHANG Guo-qin. Computing the Exterior Orientation Elements of One-line Scanner Satellitic Imagery By Using Principal Component Estimation. Remote Sensing Technology and Application, 2003, 18(1): 14-18.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2003.1.14        http://www.rsta.ac.cn/CN/Y2003/V18/I1/14

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