DocumentCode :
33862
Title :
DEM Error Correction in InSAR Time Series
Author :
Fattahi, Hanieh ; Amelung, Falk
Author_Institution :
Dept. of Marine Geol. & Geophys., Univ. of Miami, Miami, FL, USA
Volume :
51
Issue :
7
fYear :
2013
fDate :
Jul-13
Firstpage :
4249
Lastpage :
4259
Abstract :
We present a mathematical formulation for the phase due to the errors in digital elevation models (DEMs) in synthetic aperture radar (SAR) interferometry (InSAR) time series obtained by the small baseline (SB) or the small baseline subset method. We show that the effect of the DEM error in the estimated displacement is proportional to the perpendicular baseline history of the set of SAR acquisitions. This effect at a given epoch is proportional to the perpendicular baseline between the SAR acquisition at that epoch and the reference acquisition. Therefore, the DEM error can significantly affect the time-series results even if SB interferograms are used. We propose a new method for DEM error correction of InSAR time series, which operates in the time domain after inversion of the network of interferograms for the displacement time series. This is in contrast to the method of Berardino (2002) in which the DEM error is estimated in the interferogram domain. We show the effectiveness of this method using simulated InSAR data. We apply the new method to Fernandina volcano in the Galapagos Islands and show that the proposed DEM error correction improves the estimated displacement significantly.
Keywords :
error correction; radar interferometry; radar signal processing; remote sensing by radar; synthetic aperture radar; time series; DEM error correction; Fernandina volcano; Galapagos Island; InSAR time series; SAR interferometry; digital elevation model; small baseline subset method; synthetic aperture radar; Atmospheric modeling; Deformable models; Error correction; History; Synthetic aperture radar; Time domain analysis; Time series analysis; Baseline history; digital elevation model (DEM) error; synthetic aperture radar (SAR) interferometry (InSAR); time series;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2012.2227761
Filename :
6423275
Link To Document :
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