&lt;title&gt;Beyond MRT&lt;/title&gt;

Burroughs, Eddie; Driggers, Ronald G.; Halford, Carl E.; Manzardo, Mark August

doi:10.1117/12.276070

Cited by 3 publications

(1 citation statement)

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“…3. embed the micro-image of target in the video of field, then perform image process. But Ellis [15] thought that the prediction of target acquisition model was only for simplified scenes, and not only the cost for building such model was too much but also it was hard to show any relations between the prediction results and the performing task. The author proposed to build an test platform by means of DIRSP technology for the future development of the model.…”

Section: Validation and Perfection Of Target Acquisition Performance mentioning

confidence: 98%

A search of the research on soldier-in-the-loop target acquisition performance modeling of infrared imaging system

Zhang

Li³

et al. 2009

SPIE Proceedings

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Predicting the performance of target acquisition of human-vision-based infrared imaging system is one research domain spanning multi-subject. From the point view of building model, the information processing mechanism of human eyes and the clutter metric are the critical factors for the development of the target acquisition model. The issues involved in the development of the model and the means of settlement are also introduced, while the improvement of the target acquisition model is also discussed. Finally, the concept of 'performance model' is explained, which lays a foundation for building targeting task performance model according to our own applying circumstances.

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Section: Validation and Perfection Of Target Acquisition Performance mentioning

confidence: 98%

A search of the research on soldier-in-the-loop target acquisition performance modeling of infrared imaging system

Zhang

Li³

et al. 2009

SPIE Proceedings

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Laboratory measurement of sampled infrared imaging system performance

Driggers

1999

Opt. Eng

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Dynamic minimum resolvable temperature testing for staring array imagers

Webb

Halford

1999

Opt. Eng

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Experimental results of dynamic minimum resolvable temperature (DMRT) testing of a staring array thermal imager are reported. Temporal effects of scanning four bar targets are discussed. The impact of target phase for static minimum resolvable temperature (MRT) tests is presented and shown through measured results. Details of the DMRT test are offered as guidelines for such tests. DMRT test results are shown as a function of scanning speed. Results for good image uniformity are compared to results with poor image uniformity. The experimental results are used to determine the perceived resolution increase as a function of target speed. An optimum scanning speed is identified and discussed. The DMRT results at this optimum scanning speed are compared to the static MRT results. © 1999 Society of Photo-Optical Instrumentation Engineers. [S0091-3286(99) Subject terms: minimum resolvable temperature; testing staring arrays; sampled imaging systems.Paper SIS-04

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<title>Beyond MRT</title>

Cited by 3 publications

References 0 publications

A search of the research on soldier-in-the-loop target acquisition performance modeling of infrared imaging system

A search of the research on soldier-in-the-loop target acquisition performance modeling of infrared imaging system

Laboratory measurement of sampled infrared imaging system performance

Dynamic minimum resolvable temperature testing for staring array imagers

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