DocumentCode
312655
Title
On the proper polarimetric scattering matrix formulation of the forward propagation versus backscattering radar systems description
Author
Lüneburg, Ernst ; Cloude, Shane R. ; Boerner, Wolfgang M.
Author_Institution
German Aerosp. Res. Establ., Oberpfaffenhofen, Germany
Volume
4
fYear
1997
fDate
3-8 Aug 1997
Firstpage
1591
Abstract
Jones matrices and Sinclair matrices are 2×2 complex matrices that determine forward (transmission) and backward scattering, respectively. Under a unitary change of polarization basis they transform by ordinary unitary similarity and by unitary consimilarity, respectively, forming equivalence classes with common invariant polarimetric features. In most applications the Jones matrices T are normal and, thus, have orthogonal eigenvectors; whereas, Sinclair matrices S are symmetric and have orthogonal coneigenvectors. For forward scattering the term homogeneous is used in this case. Recently, inhomogeneous Jones and Sinclair matrices characterized by non-orthogonal eigenvectors and coneigenvectors have attracted attention. The present contribution considers some characteristics of these matrices. In particular it is shown that the graphical field-of-value representation of inhomogeneous Jones matrices leads to an interesting characterization of the degree of inhomogeneity, often characterized by the (cosine of the) angle between the normalized eigenvectors. Applications of the resulting theorems to both optical (transmission) and radar (backscattering) polarimetry are demonstrated, together with identifying the inherent mathematical intricacies and physical complexities which are integral to radar and optical polarimetry
Keywords
S-matrix theory; backscatter; geophysical techniques; radar cross-sections; radar polarimetry; radar theory; remote sensing by radar; Jones matrices; Jones matrix; S-matrix; Sinclair matrices; Sinclair matrix; backscatter; backscattering radar system description; coneigenvector; equivalence class; forward propagation; geophysical measurement technique; land surface; matrix transformation; non-orthogonal eigenvector; polarimetric scattering matrix formulation; polarization; radar polarimetry; radar remote sensing; radar scattering; radar theory; scattering matrix; similarity; terrain mapping; unitary consimilarity; Adaptive optics; Backscatter; Electromagnetic scattering; Laser radar; Optical interferometry; Optical scattering; Optical sensors; Radar polarimetry; Radar scattering; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN
0-7803-3836-7
Type
conf
DOI
10.1109/IGARSS.1997.608965
Filename
608965
Link To Document