Search algorithms for model-based SAR ATR

John Wissinger; Robert B. Washburn; Noah S. Friedland; Anthony Nowicki; Douglas R. Morgan; Chee Chong; Robert Fung

doi:10.1117/12.242041

10 June 1996 Search algorithms for model-based SAR ATR

John Wissinger, Robert B. Washburn, Noah S. Friedland, Anthony Nowicki, Douglas R. Morgan, Chee Chong, Robert Fung

Proceedings Volume 2757, Algorithms for Synthetic Aperture Radar Imagery III; (1996) https://doi.org/10.1117/12.242041
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

John Wissinger, Robert B. Washburn, Noah S. Friedland, Anthony Nowicki, Douglas R. Morgan, Chee Chong, and Robert Fung "Search algorithms for model-based SAR ATR", Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); https://doi.org/10.1117/12.242041

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