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Proceedings Paper

Background characterization techniques for target detection using scene metrics and pattern recognition
Author(s): Paul V. Noah; Meg A. Noah; John W. Schroeder; Julian A. Chernick
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Paper Abstract

The U.S. Army has a requirement to develop systems for the detection and identification of ground targets in a clutter environment. Autonomous Homing Munitions (AHM) using infrared, visible, millimeter wave and other sensors are being investigated for this application. Advanced signal processing and computational approaches using pattern recognition and artificial intelligence techniques combined with multisensor data fusion have the potential to meet the Army's requirements for next generation ARM.

Paper Details

Date Published: 1 September 1990
PDF: 9 pages
Proc. SPIE 1310, Signal and Image Processing Systems Performance Evaluation, (1 September 1990); doi: 10.1117/12.21796
Show Author Affiliations
Paul V. Noah, Ontar Corp. (United States)
Meg A. Noah, Ontar Corp. (United States)
John W. Schroeder, Ontar Corp. (United States)
Julian A. Chernick, U.S. Army Material Systems Analysis Activity (United States)

Published in SPIE Proceedings Vol. 1310:
Signal and Image Processing Systems Performance Evaluation
Hatem N. Nasr; Firooz A. Sadjadi, Editor(s)

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