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多波束测深数据异常值检测算法比较
引用本文:孙岚,王海栋,余成道,刘雁春. 多波束测深数据异常值检测算法比较[J]. 海洋测绘, 2009, 29(5): 57-60
作者姓名:孙岚  王海栋  余成道  刘雁春
作者单位:1. 海军大连舰艇学院,海测工程系,辽宁,大连116018
2. 解放军信息工程大学,测绘学院,河南,郑州450052;海军出版社,天津300450
3. 75711部队,广东,广州510515
摘    要:简要介绍了现行的部分国内外多波束测深数据异常值检测算法,比较和分析了算法的各自优缺点,包括中值滤波、基于趋势面的测深异常检测、抗差估计异常值检测。总结得出,通过综合利用以上各种算法,能有效提高测深数据的异常值检测效果。

关 键 词:多波束测深  异常值检测  中值滤波  趋势面检测  抗差估计  小波变换

Detection Algorithms in Multibeam Bathymetry Outliers Data
SUN Lan,WANG Hai-dong,YU Cheng-dao,LIU Yan-chun. Detection Algorithms in Multibeam Bathymetry Outliers Data[J]. Hydrographic Surveying and Charting, 2009, 29(5): 57-60
Authors:SUN Lan  WANG Hai-dong  YU Cheng-dao  LIU Yan-chun
Affiliation:1. Department of Hydrography and Cartography, Dalian Naval Academy, Dalian, Liaoning, 116018 ; 2. Institute of Surveying and Mapping, Information Engineering University, Zhengzhou, Henan,450052 ; 3. Navy Press, Tianjin, 300450 ;4. 75711 Troops, Guangzhou, Guangdong, 510515 )
Abstract:The paper introduces the current algorithms of processing outliers of multibeam bathymetry data both here and abroad. The algorithms are compared and analyzed. They include median filtering, trend surface detection, and robust estimator. The wavelet transformation steps are advanced and analyzed in feasibility. At the end of paper, the summary that synthesizing some algorithms above will improve the effect more obviously is got out.
Keywords:multibeam bathymetry  outlier detection  median filtering  trend surface detection  robust estimator  wavelet transform
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