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Proceedings Paper

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

Paper Details

Date Published: 5 September 2000
PDF: 6 pages
Proc. SPIE 4035, Laser Radar Technology and Applications V, (5 September 2000); doi: 10.1117/12.397818
Show Author Affiliations
Volodymyr N. Borovytsky, National Technical Univ. of Ukraine (Ukraine)
Valery V. Fesenko, Central Design Bureau Arsenal (Ukraine)


Published in SPIE Proceedings Vol. 4035:
Laser Radar Technology and Applications V
Gary W. Kamerman; Upendra N. Singh; Christian Werner; Vasyl V. Molebny, Editor(s)

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