Outlier detection algorithm for satellite gravity gradiometry data using wavelet shrinkage de-noising
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 identifica...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2012-05-01
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| Series: | Geodesy and Geodynamics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S167498471530118X |