Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4683779 | Geodesy and Geodynamics | 2012 | 6 Pages |
Abstract
: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.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Earth-Surface Processes
Authors
Wu Yunlong, Li Hui, Zou Zhengbo, Kang Kaixuan, Muhammad Sadiq,