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Proceedings Paper

Adaptive target recognition
Author(s): Wing K. Au; Rida Hamza; Barry A. Roberts
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Paper Abstract

This paper presents an ATR design paradigm that self configures and adapts to the diverse scenarios encountered during a mission. Today's ATR is constructed via inefficient and sub-optimal system configuration and training, whose process is very labor intensive, subjective and inaccurate. The resulting ATR is only capable of a limited amount of adaptation to changes in the environment. Moreover, the operation of such ATR systems require a user with expert algorithmic knowledge. Addressing the above-mentioned problems, the Honeywell effort is producing a self-adaptive ATR system. The system employs a Genetic Algorithm to autonomously and optimally perform configuration and training; the system also includes a specific knowledge capture mechanism, the Context Capture tool, which ties the context of the mission with an optimal configuration. Lastly, the system employs Case Based Reasoning to dynamically configure and control the ATR system based on the changing context during an ATR mission.

Paper Details

Date Published: 10 June 1997
PDF: 9 pages
Proc. SPIE 3066, Radar Sensor Technology II, (10 June 1997); doi: 10.1117/12.276094
Show Author Affiliations
Wing K. Au, Honeywell Technology Ctr. (United States)
Rida Hamza, Honeywell Technology Ctr. (United States)
Barry A. Roberts, Honeywell Technology Ctr. (United States)

Published in SPIE Proceedings Vol. 3066:
Radar Sensor Technology II
Robert Trebits; James L. Kurtz, Editor(s)

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