DocumentCode :
575968
Title :
Towards a more reliable estimation of forest parameters from polarimetric SAR tomography data
Author :
Frey, Othmar ; Meier, Erich ; Hajnsek, Irena
Author_Institution :
Earth Obs. & Remote Sensing, ETH Zurich, Zurich, Switzerland
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3110
Lastpage :
3113
Abstract :
In this contribution, tomographic imagery obtained from estimating the 3-D localization and the polarimetric signature of backscattering sources within a forest environment from fully-polarimetric multibaseline SAR data at L- and P-bands are presented. Both, polarization diversity and spatial diversity were exploited jointly within the tomographic focusing to estimate the targets´ localization and polarimetric signature. We thereby extend our recently proposed time-domain back-projection (TDBP)-based tomographic focusing approach. The tomographic slices obtained from polarimetric spectral estimation using MLBF, Capon, and MUSIC are opposed to the results previously obtained by tomographic focusing of the individual polarization channels. The results are briefly discussed with respect to potential advancements towards more reliable estimation of forest parameters from SAR tomography data.
Keywords :
geophysical image processing; geophysical techniques; image segmentation; synthetic aperture radar; vegetation; 3-D localization; Capon; L-band; MLBF; MUSIC; P-band; TDBP-based tomographic focusing approach; backscattering sources; forest environment; forest parameters; fully-polarimetric multibaseline TOWARDS SAR data; individual polarization channels; localization signature; polarimetric SAR tomography data; polarimetric signature; polarimetric spectral estimation; polarization diversity; spatial diversity; time-domain back-projection; tomographic focusing; tomographic imagery; tomographic slices; Estimation; Focusing; L-band; Multiple signal classification; Remote sensing; Synthetic aperture radar; Tomography; Capon; MUSIC; SAR tomography; beamforming; forestry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350767
Filename :
6350767
Link To Document :
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