Title :
Estimation of the degree of polarization in compact polarimetry
Author :
Shirvany, Reza ; Chabert, Marie ; Tourneret, Jean-Yves
Author_Institution :
IRIT/ENSEEIHT/TeSA, Univ. of Toulouse, Toulouse, France
Abstract :
The degree of polarization (DoP) has long been recognized as one of the most important parameters characterizing partially polarized electromagnetic waves. This parameter can be effectively used to describe the information content of polarimetric images collected by synthetic aperture radar (SAR) systems. Estimation of DoP is standardly performed using four measurements. In SAR compact polarimetry (CP), however, only two measurements are available. In this paper, we develop maximum likelihood estimators of the DoP, in SAR CP modes, based on only two intensity images. We evaluate and compare the performance of these estimators for different CP modes on RADARSAT-2 polarimetric data, over various terrain types such as urban, vegetation, and ocean.
Keywords :
electromagnetic wave polarisation; maximum likelihood estimation; radar imaging; radar polarimetry; synthetic aperture radar; DoP; SAR; compact polarimetry; degree of polarization; electromagnetic wave polarization; maximum likelihood estimation; polarimetric images; synthetic aperture radar; Maximum likelihood estimation; Oceans; Polarimetry; Polarization; Sea measurements; Polarization degree; compact polarimetry; maximum likelihood estimation; multivariate gamma distribution;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5650060