Statistical analysis of target acquisition sensor modeling experiments

Dawne M. Deaver; Steve Moyer

doi:10.1117/12.2177741

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12 May 2015 Statistical analysis of target acquisition sensor modeling experiments

Dawne M. Deaver, Steve Moyer

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Proceedings Volume 9452, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVI; 945208 (2015) https://doi.org/10.1117/12.2177741
Event: SPIE Defense + Security, 2015, Baltimore, Maryland, United States

Abstract

The U.S. Army RDECOM CERDEC NVESD Modeling and Simulation Division is charged with the development and advancement of military target acquisition models to estimate expected soldier performance when using all types of imaging sensors. Two elements of sensor modeling are (1) laboratory-based psychophysical experiments used to measure task performance and calibrate the various models and (2) field-based experiments used to verify the model estimates for specific sensors. In both types of experiments, it is common practice to control or measure environmental, sensor, and target physical parameters in order to minimize uncertainty of the physics based modeling. Predicting the minimum number of test subjects required to calibrate or validate the model should be, but is not always, done during test planning. The objective of this analysis is to develop guidelines for test planners which recommend the number and types of test samples required to yield a statistically significant result.

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Dawne M. Deaver and Steve Moyer "Statistical analysis of target acquisition sensor modeling experiments", Proc. SPIE 9452, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVI, 945208 (12 May 2015); https://doi.org/10.1117/12.2177741

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