10 June 1996 Search algorithms for model-based SAR ATR
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John Wissinger, Robert B. Washburn, Noah S. Friedland, Anthony Nowicki, Douglas R. Morgan, Chee Chong, Robert Fung, "Search algorithms for model-based SAR ATR", Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); doi: 10.1117/12.242041; https://doi.org/10.1117/12.242041
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KEYWORDS
Feature extraction

Model-based design

Synthetic aperture radar

Automatic target recognition

Data modeling

Visual process modeling

Sensors

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