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Proceedings Paper

Importance of second-order statistics for predicting target detectability
Author(s): Grayson W. Walker; James R. McManamey
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Paper Abstract

Target detection models are an important means of evaluating military systems and tactics. The models currently in use within the United States rely solely on first-order statistical measures of targets and backgrounds. Using a series of computer-generated images, this paper demonstrates that such measures ignore perceptually important information having a significant impact on detection of targets by personnel using unaided eyes, direct view optics, or electro-optical devices. Second-order statistical measures are proposed as a means of improving model performance. The paper provides a brief synopsis of current research tying second-order statistical measures to target detection models.

Paper Details

Date Published: 13 August 1993
PDF: 12 pages
Proc. SPIE 1967, Characterization, Propagation, and Simulation of Sources and Backgrounds III, (13 August 1993); doi: 10.1117/12.151078
Show Author Affiliations
Grayson W. Walker, U.S. Army Belvoir Research Development & Engineering Ctr. (United States)
James R. McManamey, U.S. Army Belvoir Research Development & Engineering Ctr. (United States)


Published in SPIE Proceedings Vol. 1967:
Characterization, Propagation, and Simulation of Sources and Backgrounds III
Wendell R. Watkins; Dieter Clement, Editor(s)

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