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Proceedings Paper

Highly accurate IR automatic object recognition system
Author(s): Yi-Tong Zhou; Todd W. Gutschow
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Paper Abstract

In this paper, we present a new ATR system for detecting and recognizing targets from a single IR image frame based on neural networks and Gabor functions. It uses Gabor functions to locate potential targets without prior knowledge about their type, size, and orientation. Neural networks are then used to remove false alarms and generate target identification based on information provided by Gabor functions. The new system combines Gabor functions and neural networks in a highly efficient way such that high recognition accuracy rates can be achieved under battlefield conditions. The new system has been successfully tested on hundreds of single frame IR images that contain multiple examples of military vehicles with different size and brightness in various background scenes and orientations, and very high recognition accuracy rates have been achieved.

Paper Details

Date Published: 20 October 1993
PDF: 8 pages
Proc. SPIE 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition, (20 October 1993); doi: 10.1117/12.161425
Show Author Affiliations
Yi-Tong Zhou, HNC, Inc. (United States)
Todd W. Gutschow, HNC, Inc. (United States)

Published in SPIE Proceedings Vol. 1957:
Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition
Lynn E. Garn; Lynda Ledford Graceffo, Editor(s)

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