DocumentCode :
1069184
Title :
Layover Solution in SAR Imaging: A Statistical Approach
Author :
Baselice, Fabio ; Budillon, Alessandra ; Ferraioli, Giampaolo ; Pascazio, Vito
Author_Institution :
Dipt. per le Tecnol., Univ. di Napoli Parthenope, Naples
Volume :
6
Issue :
3
fYear :
2009
fDate :
7/1/2009 12:00:00 AM
Firstpage :
577
Lastpage :
581
Abstract :
In this letter, a statistical-based approach to recover layover solution in synthetic aperture radar (SAR) images is proposed. The aim of this letter is to develop a methodology in order to separate different scattering contributions collapsed in a single SAR image pixel. After a brief discussion about layover, the proposed model is presented, followed by a discussion about achievable performances using Cramer-Rao lower bounds. In the final part of this letter, the performances of a maximum likelihood estimator are evaluated in a simulated data scenario, showing the effectiveness of the method.
Keywords :
maximum likelihood estimation; radar imaging; synthetic aperture radar; Cramer-Rao lower bounds; SAR imaging; maximum likelihood estimator; statistical-based approach; synthetic aperture radar; Layover; SAR interferometry; statistical signal processing; synthetic aperture radar (SAR);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2009.2021489
Filename :
5071272
Link To Document :
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