1 September 1990 Background characterization techniques for target detection using scene metrics and pattern recognition
Author Affiliations +
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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul V. Noah, Paul V. Noah, Meg A. Noah, Meg A. Noah, John W. Schroeder, John W. Schroeder, Julian A. Chernick, Julian A. Chernick, } "Background characterization techniques for target detection using scene metrics and pattern recognition", Proc. SPIE 1310, Signal and Image Processing Systems Performance Evaluation, (1 September 1990); doi: 10.1117/12.21796; https://doi.org/10.1117/12.21796
PROCEEDINGS
9 PAGES


SHARE
Back to Top