Imaging system performance evaluation: NETD, least-square error, or correlation

Volodymyr N. Borovytsky; Valery V. Fesenko

doi:10.1117/12.397818

5 September 2000 Imaging system performance evaluation: NETD, least-square error, or correlation

Volodymyr N. Borovytsky, Valery V. Fesenko

Proceedings Volume 4035, Laser Radar Technology and Applications V; (2000) https://doi.org/10.1117/12.397818
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

Citation Download Citation

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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