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Proceedings Paper

Optimal Speckle Reduction In Pol-SAR Imagery And Its Effect On Target Detection
Author(s): Leslie M. Novak; Michael C. Burl
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Paper Abstract

Speckle is a major cause of degradation in synthetic aperture radar (SAR) imagery. With the availability of fully polarimetric SAR data, it is possible to use the three complex elements (HH, HV, VV) of the polarimetric scattering matrix to reduce speckle. This paper derives the optimal method for combining the elements of the scattering matrix to minimize image speckle; the solution is shown to be a polarimetric whitening filter (PWF). A simulation of spatially correlated, K-distributed, fully polarimetric clutter is then used to compare the PWF with other, suboptimal speckle-reduction methods. Target detection performance of the PWF, span, and single-channel |HH| detectors is compared with the optimal polarimetric detector (OPD). Finally, a new, constant false alarm rate (CFAR) detector (the adaptive PWF) is proposed as a simple alternative to the OPD for detecting targets in clutter. This algorithm estimates the polarization covariance of the clutter, uses this covariance to construct the minimum speckle image, and then tests for the presence of a target. An exact theoretical analysis of the adaptive PWF is presented; the algorithm is shown to have detection performance comparable with that of the OPD.

Paper Details

Date Published: 14 August 1989
PDF: 32 pages
Proc. SPIE 1101, Millimeter Wave and Synthetic Aperture Radar, (14 August 1989); doi: 10.1117/12.960517
Show Author Affiliations
Leslie M. Novak, Massachusetts Institute of Technology (United States)
Michael C. Burl, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 1101:
Millimeter Wave and Synthetic Aperture Radar
G. Keith Huddleston; Martin E. Tanenhaus; Brian P. Williams, Editor(s)

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