利用Bayes估计进行多波束测深异常数据探测

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;³天津海洋测绘研究所,天津市友谊路40号,300061

基金项目: 国家自然科学基金资助项目(40474007)

详细信息

Outliers Detection of Multi-Beam Data Based on Bayes Estimation

¹Institute of Surveying and Mapping,Information Engineering University,66 Middle Longhai Road,Zhengzhou 450052,China;²Naval Institute of Hydrographic Surveying and Charting,40 Youyi Road,Tianjin 300061,China

Funds: 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。
- 多波束 /
- Bayes估计理论 /
- 异常数据
Abstract: 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 presented.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.
- multi-beam /
- Bayes estimation theory /
- outliers