Introduction of target, atmosphere, background, and sensor-specific (TABSS) delta T metric: analysis, comparison, and applications

Howard C. Choe; Peter K. Ahn; Thomas J. Meitzler; Eui Jung Sohn; Grant R. Gerhart

doi:10.1117/12.177928

15 June 1994 Introduction of target, atmosphere, background, and sensor-specific (TABSS) ΔT metric: analysis, comparison, and applications

Howard C. Choe, Peter K. Ahn, Thomas J. Meitzler, Eui Jung Sohn, Grant R. Gerhart

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Proceedings Volume 2223, Characterization and Propagation of Sources and Backgrounds; (1994) https://doi.org/10.1117/12.177928
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

EO/IR/FLIR sensor performance models currently employ a thermal difference metric(s) to predict target detection, recognition, and identification ranges in conjunction with minimum resolvable temperature difference (MRT) curves. In this paper, we present a target, atmosphere, background, and sensor-specific (TABSS) thermal difference metric, minimizing shortcomings and deficiencies of other thermal difference metrics currently used in thermal imaging system performance models. This metric is parametrically compared with other (Delta) (Tau) metrics. We also investigate target, background, and scene pixel variances behavior as the scene maps to a fewer number of pixels, which reveals potential applications in clutter metrics as well as detection, recognition, and identification range predictions. Finally, we survey current status of sensor performance models to seek an application of the TABSS (Delta) (Tau) metrics. We find that this metric will enhance the current thermal imaging system performance models to accurately predict detection, recognition, and identification ranges not only when the thermal difference is large, but especially when the thermal difference is small.

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Howard C. Choe, Peter K. Ahn, Thomas J. Meitzler, Eui Jung Sohn, and Grant R. Gerhart "Introduction of target, atmosphere, background, and sensor-specific (TABSS) ΔT metric: analysis, comparison, and applications", Proc. SPIE 2223, Characterization and Propagation of Sources and Backgrounds, (15 June 1994); https://doi.org/10.1117/12.177928

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KEYWORDS

Atmospheric sensing

Performance modeling

Sensors

Thermal modeling

Atmospheric modeling

Imaging systems

Sensor performance

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