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5 September 2000 Imaging system performance evaluation: NETD, least-square error, or correlation
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Abstract
There are several techniques for performance evaluation of an imaging system (IS). The first is the classical one: performance is considered as a characteristics called minimum resolvable temperature difference (MRTD). The second one is fidelity which is a parameter based on the least-square error between output signals of the idealized IS and an investigated one. The least-square error takes into account noise and distortions introduced by high spatial frequencies suppression. The third technique is defined via correlation coefficient between output signals of the idealized IS and a definite one. The paper discusses the application of the mentioned approaches for performance evaluation.
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Volodymyr N. Borovytsky and Valery V. Fesenko "Imaging system performance evaluation: NETD, least-square error, or correlation", Proc. SPIE 4035, Laser Radar Technology and Applications V, (5 September 2000); https://doi.org/10.1117/12.397818
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