Relational template-matching algorithm for FLIR automatic target recognition

Andrew P. Kramer; David Perschbacher; Randy S. Johnston; Teresa A. Kipp

doi:10.1117/12.161455

20 October 1993 Relational template-matching algorithm for FLIR automatic target recognition

Andrew P. Kramer, David Perschbacher, Randy S. Johnston, Teresa A. Kipp

Proceedings Volume 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition; (1993) https://doi.org/10.1117/12.161455
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

Andrew P. Kramer, David Perschbacher, Randy S. Johnston, and Teresa A. Kipp "Relational template-matching algorithm for FLIR automatic target recognition", Proc. SPIE 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition, (20 October 1993); https://doi.org/10.1117/12.161455

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