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13 August 1993 Importance of second-order statistics for predicting target detectability
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Grayson W. Walker and James R. McManamey "Importance of second-order statistics for predicting target detectability", Proc. SPIE 1967, Characterization, Propagation, and Simulation of Sources and Backgrounds III, (13 August 1993);

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