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Proceedings Paper

Multivariate regression as a method for FLIR target detection
Author(s): Dalton S. Rosario
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Paper Abstract

I promote using an alternative philosophy for the design of infrared-target-detection algorithms. This philosophy focuses on finding first and eliminating natural clutter from a scene, followed by finding and preserving candidate targets in that scene. The reverse approach is the most common adopted one in the infrared ATR (automatic target recognition) community. This alternative is appealing because it should significantly reduce the amount of out-of-context information to be processed by a classifier. I show how to apply sensor domain knowledge, common sense, and multivariate regression to the problem of infrared target detection. A proof-of-principle experiment and its results are discussed.

Paper Details

Date Published: 25 July 2002
PDF: 11 pages
Proc. SPIE 4726, Automatic Target Recognition XII, (25 July 2002); doi: 10.1117/12.477016
Show Author Affiliations
Dalton S. Rosario, Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 4726:
Automatic Target Recognition XII
Firooz A. Sadjadi, Editor(s)

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