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Proceedings Paper

Relational template-matching algorithm for FLIR automatic target recognition
Author(s): Andrew P. Kramer; David Perschbacher; Randy S. Johnston; Teresa A. Kipp
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Paper Abstract

Under the Army Night Vision & Electronic Sensors Directorate and the Army Research Laboratory (S3I) sponsored ATR Relational Template Matching (ARTM) program, we have developed a novel model-based forward-looking infrared (FLIR) automatic target recognition (ATR) algorithm with superior performance over other model-based and template matching algorithms. The ARTM algorithm represents a significant advance over other approaches because its performance is relatively insensitive to the extreme variations of target signatures in FLIR imagery. The algorithm has been extensively evaluated in Army-sponsored competitive tests on low-depression ground target scenarios. The ARTM algorithm correctly recognizes target signatures at less than one-half the signal-to-noise level required by other approaches. Also the algorithm performs consistently over signature variations with up to 30 percent shape error.

Paper Details

Date Published: 20 October 1993
PDF: 9 pages
Proc. SPIE 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition, (20 October 1993); doi: 10.1117/12.161455
Show Author Affiliations
Andrew P. Kramer, Alliant Techsystems, Inc. (United States)
David Perschbacher, Alliant Techsystems, Inc. (United States)
Randy S. Johnston, Alliant Techsystems, Inc. (United States)
Teresa A. Kipp, U.S. Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 1957:
Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition
Lynn E. Garn; Lynda Ledford Graceffo, Editor(s)

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