Outlier detection algorithm for satellite gravity gradiometry data using wavelet shrinkage de-noising

被引：0
|
作者：
Muhammad Sadiq
机构：
[1] DepartmentofEarthSciences,Quaid-i-AzamUniversity,Islamabad,Pakistan
来源：
Geodesy and Geodynamics | 2012年 / 3卷 / 02期
关键词：
D O I：
暂无
中图分类号：
V474.26 []; P223 [物理大地测量、重力测量与地球形状的测定];
学科分类号：
摘要：
On the basis of wavelet theory,we propose an outlier-detection algorithm for satellite gravity gradiometry by applying a wavelet-shrinkage-de-noising method to some simulation data with white noise and outliers.The result shows that this novel algorithm has a 97% success rate in outlier identification and that it can be efficiently used for pre-processing real satellite gravity gradiometry data.
引用
收藏
页码：47 / 52
页数：6
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