Performance evaluation and verification of infrared imaging system based on TTP metric

Na Ma; Qiong Gao; Zhendong Ding; Yanxiu Zhang

doi:10.1117/12.2242493

27 September 2016 Performance evaluation and verification of infrared imaging system based on TTP metric

Na Ma, Qiong Gao, Zhendong Ding, Yanxiu Zhang

Proceedings Volume 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment; 96842H (2016) https://doi.org/10.1117/12.2242493
Event: Eighth International Symposium on Advanced Optical Manufacturing and Testing Technology (AOMATT2016), 2016, Suzhou, China

Abstract

With the development of infrared focal plane array (IRFPA) technology, the high performance staring infrared imaging system has fully substituted the scanning type, and become the third generation thermal imaging system. Meanwhile the performance evaluation model associated with the device level also should be updated accordingly. This paper compares the traditional distance evaluation model with the latest model that is based on Target Task Performance (TTP) metric, and analyzes the problems and deficiencies when we evaluate a staring imaging system using the traditional model. Taking a certain type of infrared imaging equipment for example, we simulate its performances by using the two models respectively, and analyze the simulation results. Finally we verified the simulation results through field experiments, the results show that the value predicted by the model basing on the rule of TTP is closer to the measured value. This paper suggests that the TTP model is more accurate than traditional model in the design, optimization and evaluation of the high performance staring infrared imaging system.

Citation Download Citation

Na Ma, Qiong Gao, Zhendong Ding, and Yanxiu Zhang "Performance evaluation and verification of infrared imaging system based on TTP metric", Proc. SPIE 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment, 96842H (27 September 2016); https://doi.org/10.1117/12.2242493

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KEYWORDS

Performance modeling

Thermal modeling

Targeting Task Performance metric

Infrared imaging

Imaging systems

Minimum resolvable temperature difference

Signal to noise ratio

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