DocumentCode :
2679661
Title :
Polarimetric optical tools and decompositions applied to SAR images
Author :
Colin, Elise K.
Author_Institution :
Chemin de la Huniere, Palaiseau
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
4191
Lastpage :
4194
Abstract :
Radar polarimetry aims to determine the scattering properties of a target or scatterer. For this purpose, the scattering matrix can be analyzed and represented in several ways using various techniques to extract information about the scattering mechanisms. Polarimetry and ellipsometry are techniques which both study the properties of the polarization of the scattered waves but traditionally refer to different wavelengths: optical wavelengths for ellipsometry, and high-frequencies radio waves for radar polarimetry. This paper deals with natural targets in the general bistatic case, for which the 16 parameters of the Mueller matrix are independent. We try to answer the following questions: how to deduce the radar polarimetric parameters from the optical measurements of a Mueller ellipsometer? What are the polarimetric parameters traditionally devoted to optical images, and in which extent is it possible to apply and interpret them in the case of SAR images?
Keywords :
S-matrix theory; ellipsometry; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; Mueller ellipsometer; Mueller matrix; SAR image; ellipsometry; optical images; optical measurement; polarimetric optical decomposition; polarimetric optical tools; radar polarimetry; scattering matrix; scattering properties; Data mining; Ellipsometry; Information analysis; Laser radar; Matrix decomposition; Optical polarization; Optical scattering; Radar imaging; Radar polarimetry; Radar scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4423774
Filename :
4423774
Link To Document :
بازگشت