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Proceedings Paper

Multiresolution generalized likelihood ratio detection approach to target screening in synthetic aperture radar data
Author(s): Nikola S. Subotic; Leslie M. Collins; Michael F. Reiley; John D. Gorman
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Paper Abstract

We present a detection concept for initial target screening based on features that are derived from a multiresolution decomposition of synthetic aperture radar (SAR) data. The physical motivation of the multiresolution feature-based approach is the exploitation of signature oscillations produced by the interference between prominant scatterers in cultural objects when resolution is varied. We develop a generalized likelihood ratio test detector which differentiates between first order autoregressive multiresolution processes attributed to different spatial areas. We then derive two special cases of this detector motivated by arguments regarding the clutter statistics. We show that these schemes significantly outperform a standard energy detector operating on the finest available SAR resolution only.

Paper Details

Date Published: 5 June 1995
PDF: 9 pages
Proc. SPIE 2487, Algorithms for Synthetic Aperture Radar Imagery II, (5 June 1995); doi: 10.1117/12.210840
Show Author Affiliations
Nikola S. Subotic, Environmental Research Institute of Michigan (United States)
Leslie M. Collins, Environmental Research Institute of Michigan (United States)
Michael F. Reiley, Environmental Research Institute of Michigan (United States)
John D. Gorman, Environmental Research Institute of Michigan (United States)


Published in SPIE Proceedings Vol. 2487:
Algorithms for Synthetic Aperture Radar Imagery II
Dominick A. Giglio, Editor(s)

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