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
fDate :
7/1/2009 12:00:00 AM
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);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2009.2021489