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Proceedings Paper

Search algorithms for model-based SAR ATR
Author(s): John Wissinger; Robert B. Washburn; Noah S. Friedland; Anthony Nowicki; Douglas R. Morgan; Chee Chong; Robert Fung
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Paper Abstract

The Wright Laboratory/DARPA MSTAR program is developing an innovative model-based vision approach to SAR ATR. Central to that approach is the predict-extract-match-search) subsystem that implements a 'hypothesis and test' approach to target recognition. The search module directs the search through hypothesis space and seeks to minimize the computational effort of that search. This paper presents the key concepts and issues behind the design of the MSTAR search module.

Paper Details

Date Published: 10 June 1996
PDF: 15 pages
Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); doi: 10.1117/12.242041
Show Author Affiliations
John Wissinger, Alphatech, Inc. (United States)
Robert B. Washburn, Alphatech, Inc. (United States)
Noah S. Friedland, Lockheed Martin Astronautics (United States)
Anthony Nowicki, Lockheed Martin Astronautics (United States)
Douglas R. Morgan, Booz-Allen & Hamilton (United States)
Chee Chong, Booz-Allen & Hamilton (United States)
Robert Fung, Prevision, Inc. (United States)


Published in SPIE Proceedings Vol. 2757:
Algorithms for Synthetic Aperture Radar Imagery III
Edmund G. Zelnio; Robert J. Douglass, Editor(s)

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