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Proceedings Paper

Parametric analysis of target/decoy performance
Author(s): John P. Kerekes
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Paper Abstract

This paper describes an analytical approach to the parametric analysis of target/decoy discrimination performance as a function of various controllable object characteristics. This analysis tool can be used to answer the question, How distinct in physical characteristics do a target and decoy have to be before they can be easily discriminated? Three main characteristics of the objects are considered in this analysis: temperature, projected area, and rate of rotation. These characteristics are given assumed models for their statistics and described by a set of parameters including their first and second order moments. Based upon the statistical parameters and models for the object characteristics, a set of equations is derived to compute the mean and covariance of the optical signature as seen by a sensor for the decoy and target classes. An estimate of the classification performance between the classes is made using a function of a statistical distance measure. This estimate is used as a performance measure in a parameter trade-off analysis during an example decoy concept development process. While a purely analytical approach such as this lacks the fidelity of a sophisticated simulation model, it is computationally much simpler and is most appropriately applied during decoy concept development before the application of more rigorous simulation-based analysis.

Paper Details

Date Published: 1 July 1991
PDF: 12 pages
Proc. SPIE 1483, Signal and Image Processing Systems Performance Evaluation, Simulation, and Modeling, (1 July 1991); doi: 10.1117/12.45738
Show Author Affiliations
John P. Kerekes, Massachusetts Institute of Technology (United States)

Published in SPIE Proceedings Vol. 1483:
Signal and Image Processing Systems Performance Evaluation, Simulation, and Modeling
Hatem N. Nasr; Michael E. Bazakos, Editor(s)

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