DocumentCode :
1310978
Title :
An Estimation Method for InSAR Interferometric Phase Based on MMSE Criterion
Author :
Li, Hai ; Liao, Guisheng
Volume :
48
Issue :
3
fYear :
2010
fDate :
3/1/2010 12:00:00 AM
Firstpage :
1457
Lastpage :
1469
Abstract :
In this paper, we propose a method based on minimum mean squared error (mmse) criterion to estimate synthetic aperture radar interferometry (InSAR) interferometric phase. In this method, the cross-correlation coefficient vector with large coregistration error is given first, and then, the cost function under the mmse criterion is used to estimate the InSAR interferometric phase. The method can auto-coregister the SAR images and reduce the interferometric phase noise simultaneously. Theoretical analysis and computer simulation results show that the method can provide an accurate estimate of the terrain interferometric phase (interferogram) even when the coregistration error reaches 1 pixel.
Keywords :
geophysical signal processing; image registration; radar imaging; radar interferometry; remote sensing by radar; synthetic aperture radar; InSAR interferometric phase estimation; MMSE criterion; coregistration error; cost function; cross correlation coefficient vector; interferogram; interferometric phase noise; minimum mean squared error criterion; synthetic aperture radar interferometry; terrain interferometric phase; Coregistration error; cross-correlation coefficient vector; interferometric phase; interferometry; minimum mean squared error (mmse); synthetic aperture radar (SAR);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2009.2031100
Filename :
5325623
Link To Document :
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