DocumentCode :
812574
Title :
Polarimetric discriminators for SAR images
Author :
Touzi, Ridha ; Goze, Stéphane ; Le Toan, Thuy ; Lopes, Armand ; Mougin, Eric
Author_Institution :
Centre d´´Etude Spatiale des Rayonnements, Univ. Paul Sabatier, Toulouse, France
Volume :
30
Issue :
5
fYear :
1992
fDate :
9/1/1992 12:00:00 AM
Firstpage :
973
Lastpage :
980
Abstract :
A method is developed for optimizing the degree of polarization of a partially polarized wave reflected by a nonstationary scattering object. The method permits, for a scattered wave and a given target characterized by its Mueller matrix, analytic computation of the maximum and minimum values of the degree of polarization, and the corresponding transmitted polarizations. A procedure for the optimization of the scattered wave intensity is also proposed. The degree of polarization and the total scattered intensity extrema are then analyzed experimentally on JPL data. It is shown that several entities such as the received intensity extrema, the coefficient of variation, the fractional polarization and the span, which are currently used for target discrimination, can be deduced from combinations of the maximum and minimum values of the degree of polarization and the scattered wave intensity. Finally, a classification of the San Francisco image, based on these indices, is conducted for a better understanding of the specific physical meaning of each index
Keywords :
electromagnetic wave polarisation; radar theory; remote sensing by radar; synthetic aperture radar; Mueller matrix; SAR images; San Francisco image; United States; degree of polarization; fractional polarization; nonstationary scattering object; partially polarized wave; polarimetric discriminators; received intensity extrema; remote sensing; scattered wave; synthetic aperture radar; target discrimination; transmitted polarizations; wave intensity; Data analysis; Optimization methods; Polarization; Radar applications; Radar imaging; Radar polarimetry; Radar remote sensing; Radar scattering; Remote sensing; Surface waves;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.175332
Filename :
175332
Link To Document :
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