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Radar interferogram filtering for geophysical applications
Author(s) -
Goldstein Richard M.,
Werner Charles L.
Publication year - 1998
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/1998gl900033
Subject(s) - decorrelation , interferometry , noise (video) , remote sensing , geology , interferometric synthetic aperture radar , synthetic aperture radar , filter (signal processing) , phase (matter) , computer science , geophysics , physics , optics , algorithm , artificial intelligence , quantum mechanics , image (mathematics) , computer vision
The use of SAR interferometry is often impeded by decorrelation from thermal noise, temporal change, and baseline geometry. Power spectra of interferograms are typically the sum of a narrow‐band component combined with broad‐band noise. We describe a new adaptive filtering algorithm that dramatically lowers phase noise, improving both measurement accuracy and phase unwrapping, while demonstrating graceful degradation in regions of pure noise. The performance of the filter is demonstrated with SAR data from the ERS satellites over the Jakobshavns glacier of Greenland.