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
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