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Proceedings Paper

Target detection with synthetic aperture radar and coherent subtraction
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Paper Abstract

This paper considers target detection with SAR and coherent subtraction. We shall show with experimental data that the coherent subtraction technique may be used to suppress outliers and obtain approximate Gaussian distributions for clutter and noise. We shall also derive generalized likelihood ratio (GLR) detection algorithms that may be used with SAR images that are obtained with coherent subtraction. We shall analytically compare the performance of (a) a single pixel detector, (b) a detector using complete knowledge of the target signature information and known orientation information, (c) a detector using incomplete knowledge of the target signature information and known orientation information, (d) a detector using unknown target signature information and known orientation information, and (e) a detector using unknown target signature information and unknown orientation information.

Paper Details

Date Published: 9 June 1994
PDF: 12 pages
Proc. SPIE 2230, Algorithms for Synthetic Aperture Radar Imagery, (9 June 1994); doi: 10.1117/12.177191
Show Author Affiliations
Jian Li, Univ. of Florida (United States)
Edmund G. Zelnio, Air Force Wright Lab. (United States)


Published in SPIE Proceedings Vol. 2230:
Algorithms for Synthetic Aperture Radar Imagery
Dominick A. Giglio, Editor(s)

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