Radar interferogram filtering for geophysical applications
- 1 November 1998
- journal article
- Published by American Geophysical Union (AGU) in Geophysical Research Letters
- Vol. 25 (21) , 4035-4038
- https://doi.org/10.1029/1998gl900033
Abstract
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.This publication has 12 references indexed in Scilit:
- Surface deformation and coherence measurements of Kilauea Volcano, Hawaii, from SIR‐C radar interferometryJournal of Geophysical Research, 1996
- Estimation of ice-sheet motion using satellite radar interferometry: method and error analysis with application to Humboldt Glacier, GreenlandJournal of Glaciology, 1996
- Atmospheric limitations to repeat‐track radar interferometryGeophysical Research Letters, 1995
- Surface Displacement of the 17 May 1993 Eureka Valley, California, Earthquake Observed by SAR InterferometryScience, 1995
- Satellite Radar Interferometry for Monitoring Ice Sheet Motion: Application to an Antarctic Ice StreamScience, 1993
- The displacement field of the Landers earthquake mapped by radar interferometryNature, 1993
- Studies of multibaseline spaceborne interferometric synthetic aperture radarsIEEE Transactions on Geoscience and Remote Sensing, 1990
- Mapping small elevation changes over large areas: Differential radar interferometryJournal of Geophysical Research, 1989
- Estimating the Doppler centroid of SAR dataIEEE Transactions on Aerospace and Electronic Systems, 1989
- Satellite radar interferometry: Two‐dimensional phase unwrappingRadio Science, 1988