| 结合影响分析的抗隐差型Bayes粗差探测方法 |
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| 引用本文： | 王延停,归庆明.结合影响分析的抗隐差型Bayes粗差探测方法[J].武汉大学学报(信息科学版),2012,37(9):1055-1058. |
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| 作者姓名： | 王延停 归庆明 |
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| 作者单位： | 信息工程大学理学院,郑州市科学大道62号,450001 |
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| 基金项目： | 国家自然科学基金资助项目，郑州市科技攻关计划资助项目 |
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| 摘 要： | 通过分析隐差现象产生的原因,将基于观测误差的后验概率法与基于Kullback-Leiber距离的影响分析相结合,并利用逐个搜索法的思想,给出了一种粗差探测的抗隐差型Bayes方法。实验结果表明,采用该方法进行粗差探测切实可行,不但有效地发现了被掩盖的粗差,而且运算简单,效率较高。
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| 关 键 词： | Bayes方法 影响分析 Kullback-Leiber距离 抗隐差 粗差探测 |
Bayes Unmasking Method to Detection of Gross Errors Together with Influence Analysis |
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| WANG Yanting,GUI Qingming.Bayes Unmasking Method to Detection of Gross Errors Together with Influence Analysis[J].Geomatics and Information Science of Wuhan University,2012,37(9):1055-1058. |
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| Authors: | WANG Yanting GUI Qingming |
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| Institution: | 1(1 Institute of Science,Information Engineering University,62 Kexue Road,Zhengzhou 450001,China) |
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| Abstract: | By analyzing the reason of masking and combining the method of posterior probability of observation error and the influence of Kullback-Leiber divergence,a Bayes unmasking method for gross errors detection is proposed based on the idea of one-by-one searching.The experimental results show that this method is successful for gross errors detection.The method not only detects the gross errors of masking effectively and has a bstter result,but also has a simple computational process and higher efficiency. |
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| Keywords: | Bayes method influence analysis Kullback-Leiber divergence unmasking gross errors detection |
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