利用Bayes估计进行多波束测深异常数据探测  

Outliers Detection of Multi-Beam Data Based on Bayes Estimation

作　　者：黄贤源[1] 隋立芬[1] 翟国君[2] 柴洪洲[1,2] 

机构地区：[1]信息工程大学测绘学院,郑州市陇海中路66号450052 [2]天津海洋测绘研究所,天津市友谊路40号300061

出　　处：《武汉大学学报（信息科学版）》2010年第2期168-171,214,共5页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金资助项目(40474007)

摘　　要：在海底地形变化连续、平缓的假设条件下,基于Bayes估计理论提出了多波束测深异常数据探测方法,并与选权迭代加权平均滤波法进行了分析和比较。结果证明,该方法可以解决测深异常值判断标准可靠性的问题,而且能合理、有效地探测出异常值。On the ground of hypothesis that the change of marine terrain is continue and slow,a new method of detecting outliers of multi-beam data by Bayes estimate theory is pres ented. In order to verify the validities and rationalities of this method, a contrast between this method and the approach of select-weight iterative filter is done. The result shows that the approach can solve the problem of judge-standard reliability and could detect the outliers of Multi-Beam data valid and rational.

关 键 词：多波束 Bayes估计理论 异常数据 

分 类 号：P229.2[天文地球—大地测量学与测量工程]