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Proceedings Paper

Model based ATR systems for the military
Author(s): Frank Tatum
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Paper Abstract

Significant advances in the field of signal and image processing have resulted in the development of a "Tech Base" of Automatic Target Recognition (ATR) technology which has reached a maturity level sufficient for its insertion into Military Weapon Systems. The 1988 Defense Science Board Task Force on Image Recognition reached this conclusion' and AIR Technblogy ranks high on the list of Military Critical technologies in a recent report submitted to the U.S. Congress. The developed ATR Tech Base can be divided into the three significant parts of sensor, algorithm and processor technology. Sensors are tasked with extracting information from the scene of interest. Algorithms are required to process the extracted information into a useable format. Processors are necessary to implement the algorithms into real world systems. The advent of Model Based Approaches to algorithm design have been instrumental in maturing the ATR algorithm tech base to a level which today supports the insertion of AIR technology into future Military Weapon Systems. The Military services have identified a number of Missions requiring the use of Some missions can be supported with today's AIR Tech Base but many are exceedingly difficult and will require substantial advances to be made before the missions can be accomplished. In the ATR Tech Base, the area requiring the most growth is algorithm technology. To support the required growth in algorithm technology, processors must be programmable to enable rapid insertion of algorithm advances as they occur. This paper will overview selected Military missions and the ATR algorithms requirements which must be met to accomplish those missions. The use of Model Based Algorithms to accomplish the Fixed High Value Target mission will be used as an example of the application of Model Based Algorithms.

Paper Details

Date Published: 1 November 1991
PDF: 10 pages
Proc. SPIE 10307, Automatic Object Recognition, 103070D (1 November 1991); doi: 10.1117/12.2283654
Show Author Affiliations
Frank Tatum, Texas Instruments Inc. (United States)

Published in SPIE Proceedings Vol. 10307:
Automatic Object Recognition
Hatem N. Nasr, Editor(s)

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