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Proceedings Paper

Automated objective minimum resolvable temperature difference
Author(s): Charles S. Bendall
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Paper Abstract

The Automated Objective Minimum Resolvable Temperature Difference (AO-MRTD) is an approach to provide an automated and objective measure of a thermal imager's performance. The algorithm is intended to provide a more accurate, reliable and cost effective figure of merit than traditional subjective MRTD measurements. MRTD values are calculated using signal-to-noise ratios obtained by match filtering digitized images of low contrast four bar patterns. Match filters are constructed from a high contrast image of the four bar patterns and the algorithm can assess sensor performance beyond Nyquist (similar to the minimum temperature difference perceived figure of merit). The MRTD values derived by the algorithm do not represent the minimum temperature differences perceived by human observers; however, simple modifications to the threshold signal-to- noise ratio result in human-like MRTD values. The algorithm has the flexibility to construct multiple types of match filters derived from a single high contrast image. Currently, the algorithm derives separate MRTD values for match filters corresponding to the bar pattern and it's derivative. Preliminary results suggest that a combination of the two match filters may yield a match to the human subjective MRTD results. The basic construction and operation of the algorithm is outlined.

Paper Details

Date Published: 17 July 2000
PDF: 10 pages
Proc. SPIE 4030, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XI, (17 July 2000); doi: 10.1117/12.391788
Show Author Affiliations
Charles S. Bendall, Space and Naval Warfare Systems Ctr., San Diego (United States)

Published in SPIE Proceedings Vol. 4030:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XI
Gerald C. Holst, Editor(s)

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