Statistics – Applications
Scientific paper
Apr 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003esasp.529e...8f&link_type=abstract
Proceedings of the Workshop on POLinSAR - Applications of SAR Polarimetry and Polarimetric Interferometry (ESA SP-529). 14-16 Ja
Statistics
Applications
Scientific paper
Conventional SAR processing techniques generally assume that targets have a stationary behavior during the SAR integration. How- ever, SAR sensors operating at lower frequencies, like L- and P-band, have a wide antenna characteristic in azimuth; i.e. during the formation of the synthetic aperture, multiple squint-angles are integrated to build the full-resolution SAR image. In this paper, a fully polarimetric sub-aperture analysis method is introduced. Using deconvolution, synthesized SAR images are decomposed into sub- aperture data sets, which correspond to the scene responses under different azimuthal look-angles. A statistical analysis of the po- larimetric parameters permits to clearly discriminate media showing a non-stationary behavior during the SAR integration. Finally, a method is proposed, which eliminates the influence of azimuthal backscattering variations in conventional polarimetric SAR data analysis.
Boerner Wolfgang-Martin
Ferro-Famil Laurent
Pottier Eric
Reigber A.
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