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...
Salvato in:
| Autori principali: | , , , , |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
KeAi Communications Co., Ltd.
2012-05-01
|
| Serie: | Geodesy and Geodynamics |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S167498471530118X |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|