DocumentCode
21813
Title
On the Reconstruction of Quad-Pol SAR Data From Compact Polarimetry Data For Ocean Target Detection
Author
Collins, Michael J. ; Denbina, Michael ; Atteia, Ghada
Author_Institution
Dept. of Geomatics Eng., Univ. of Calgary, Calgary, AB, Canada
Volume
51
Issue
1
fYear
2013
fDate
Jan. 2013
Firstpage
591
Lastpage
600
Abstract
Circular-transmit/linear-receive compact polarimetry synthetic aperture radar systems combine coherent dual polarization with wide-swath imaging. The polarization information in these data may be represented as a Stokes vector, or one can reconstruct several quadpolarized covariance elements. Two reconstruction algorithms have been published in the literature: one by Souyris and a refined algorithm by Nord We investigated the application of these two algorithms for reconstructing ocean clutter for the purpose of detecting targets. We tested the assumptions underlying these algorithms and found that they were not valid for ocean scenes. We present a simple empirical reconstruction model whose reconstruction and target detection performance is superior to the two published algorithms.
Keywords
geophysical image processing; image reconstruction; oceanographic techniques; radar polarimetry; synthetic aperture radar; Quad-Pol SAR data reconstruction; Stokes vector; circular-transmit compact polarimetry SAR system; coherent dual polarization; compact polarimetry data; linear-receive compact polarimetry SAR system; ocean clutter reconstruction; ocean target detection; quadpolarized covariance elements; reconstruction algorithms; reconstruction model; reconstruction performance; target detection performance; wide-swath imaging; Backscatter; Covariance matrix; Image reconstruction; Oceans; Scattering; Synthetic aperture radar; Vectors; Circular polarization; compact polarimetry (CP); synthetic aperture radar (SAR); target detection;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2012.2199760
Filename
6227345
Link To Document