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Proceedings Paper

Real-time distortion-tolerant composite filters for automatic target identification
Author(s): Daniel J. Sullivan; Arthur V. Forman; Arthur W. Chang
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Paper Abstract

This paper describes work being performed at Martin Marietta to synthesize and implement robust, distortion-tolerant composite filters to perform automatic target recognition (ATR). Two main topics will be discussed. The first part of the paper outlines two filter design methods for trading between distortion tolerance and false alarm rate. In the second part, we will explain the real-time digital implementation of a multiclass ATR system using composite filters in Martin Marietta's massively parallel computer, the Geometric Arithmetic Parallel Processor (GAPPTM).

Paper Details

Date Published: 1 July 1992
PDF: 10 pages
Proc. SPIE 1701, Optical Pattern Recognition III, (1 July 1992); doi: 10.1117/12.138326
Show Author Affiliations
Daniel J. Sullivan, Martin Marietta Electronic Systems (United States)
Arthur V. Forman, Martin Marietta Electronic Systems (United States)
Arthur W. Chang, Martin Marietta Electronic Systems (United States)


Published in SPIE Proceedings Vol. 1701:
Optical Pattern Recognition III
David P. Casasent; Tien-Hsin Chao, Editor(s)

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