DocumentCode :
513477
Title :
Joint SAR imaging and DEM reconstruction from multichannel layover-affected SAR data
Author :
Baselice, Fabio ; Budillon, Alessandra ; Ferraioli, Giampaolo ; Pascazio, Vito
Author_Institution :
Dipt. per le Tecnol., Univ. degli Studi di Napoli Parthenope, Naples, Italy
Volume :
3
fYear :
2009
fDate :
12-17 July 2009
Abstract :
In this paper a methodology for the reconstruction of height profile of earth surface starting from layover affected Synthetic Apertuire Radar data is presented. The proposed approach is based on classical statistical estimation techniques, in particular using Maximum Likelihood Estimator, together with a Gaussian model for the point target response. Multi-channel configuration has been exploited in order to solve the solution ambiguity and to increase the reconstruction accuracy. The performances of the proposed estimator have been evaluated in comparison with the Cramer Rao Lower Bounds for the considered model, showing the effectiveness of the method. The height reconstruction procedure has been tested on a simulated realistic scenario, providing interesting and promising results.
Keywords :
digital elevation models; geophysical signal processing; height measurement; maximum likelihood estimation; radar signal processing; remote sensing by radar; synthetic aperture radar; topography (Earth); Cramer Rao lower bounds comparison; DEM reconstruction; Earth surface height profile reconstruction; SAR imaging; maximum likelihood estimator; multichannel configuration; multichannel layover affected SAR data; point target response Gaussian model; reconstruction accuracy; statistical estimation techniques; synthetic apertuire radar; Earth; Image reconstruction; Layout; Maximum likelihood estimation; Radar polarimetry; Scattering; Sensor phenomena and characterization; Surface reconstruction; Synthetic aperture radar; Synthetic aperture radar interferometry; Cramer Rao Lower Bounds; Layover; Maximum Likelihood Estimator; Synthetic Aperture Radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
Type :
conf
DOI :
10.1109/IGARSS.2009.5418240
Filename :
5418240
Link To Document :
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