摘要
根据较大区域的测深数据的分布特性 ,提出了一种基于中值滤波、局部方差检测和小波分析相结合的方法来定位异常数据 。
This paper combines median filter with local variance estimation and wavelet analysis to remove outliers and noises. Because median filter can distort details in datasets, its result is not ultimate. However, the local variance is calculated through it. Then removing outliers relies on limit errors calculated by the local variance. The algorithm is verified by the real data and simulated data. It can process large quantities of data, rapid speed and robust etc.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2004年第1期80-83,共4页
Geomatics and Information Science of Wuhan University
关键词
多波束
滤波
小波分析
测深
multi-beam
filtering
wavelet analysis
