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Proceedings Paper

Image metrics approach to understanding effects of terrain and environment on performance of thermal target acquisition systems
Author(s): Bruce M. Sabol; Kenneth G. Hall
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Paper Abstract

Understanding the general statistical characteristics and the distribution of target-like features in thermal background imagery is an important part of solving the automatic target recognition (ATR) problem. An alternative approach to test site and scene characterization, based on thermal background image metrics, is described and demonstrated. A database of forward looking infrared (FLIR) imagery, and meteorological and terrain data was systematically obtained from three continental U.S. (CONUS) test sites. Image metrics, relevant to ATR performance, were computed on all imagery. It was demonstrated that temporal variations in these metrics could be predicted (r2≥0.79) using current meteorological conditions and a time history of solar loading measurements. Scene-to-scene differences in the texture metrics at a single test site could be predicted (r2≥O.78) based on gross scene content attributes. The applications and limitations of this approach and procedure are discussed.

Paper Details

Date Published: 1 September 1990
PDF: 19 pages
Proc. SPIE 1311, Characterization, Propagation, and Simulation of Infrared Scenes, (1 September 1990); doi: 10.1117/12.21841
Show Author Affiliations
Bruce M. Sabol, U.S. Army Engineer Waterways Experiment Station (United States)
Kenneth G. Hall, U.S. Army Engineer Waterways Experiment Station (United States)

Published in SPIE Proceedings Vol. 1311:
Characterization, Propagation, and Simulation of Infrared Scenes
Milton J. Triplett; Wendell R. Watkins; Ferdinand H. Zegel, Editor(s)

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