DocumentCode
2129269
Title
Optimum polarimetric analysis of backscattering from rough sea surface
Author
Qing, Dong ; Huadong, Guo
Author_Institution
Inst. of Remote Sensing Appl., Chinese Acad. of Sci., Beijing, China
Volume
1
fYear
2004
fDate
20-24 Sept. 2004
Lastpage
218
Abstract
Using SIR-C/X-SAR that provided simultaneously images of Southern-China Sea at three microwave wavelengths, L-band quad-polarization, C-band quad-polarization and X-band with VV polarization, the present paper calculate and analyze the optimum polarization of the backscattering from the rough sea surface. The utmost applications of radar remote sensing of ocean come down to quantitative derivation of some oceanographic parameters instead of simple interpretation of patterns on the SAR image itself of ocean surface. Accordingly, we concern mainly the polarimetric parameters of return signals from sea surfaces relate some physical oceanographic variables. Since the backscattering matrix contains the backscattering information of moving sea surface, concentration should be on understanding the properties of this matrix alone. Meanwhile, polarization is a key to aim this goal. A physical approach is to study polarization optimization. The optimization result shows that an optimum polarization changes with position of sea surface. And as a heuristic derivation, we prove that there exist optimum polarimetric responses with orientations at all sea-wind conditions.
Keywords
heuristic programming; oceanography; polarisation; radar cross-sections; radar polarimetry; remote sensing by radar; synthetic aperture radar; wind; C-band quad-polarization; L-band quad-polarization; SAR image interpretation; SIR-C/X-SAR; Southern China Sea; Space Imaging Radar; Synthetic Aperture Radar; X-band/VV polarization; heuristic derivation; microwave wavelength; ocean backscattering matrix; oceanographic parameter; optimum polarimetric analysis; radar remote sensing; rough sea surface; sea-wind condition; Backscatter; Image analysis; L-band; Oceans; Polarization; Radar remote sensing; Rough surfaces; Sea surface; Surface roughness; Surface waves;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN
0-7803-8742-2
Type
conf
DOI
10.1109/IGARSS.2004.1368998
Filename
1368998
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