Evaluation of wake detection probability of underwater vehicle by IR

Wei Kou; Xuan Chen; Li Yang; Fang-yuan Jin

doi:10.1117/12.2246860

1 November 2016 Evaluation of wake detection probability of underwater vehicle by IR

Wei Kou, Xuan Chen, Li Yang, Fang-yuan Jin

Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 101572H (2016) https://doi.org/10.1117/12.2246860
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

Abstract

The thermal or cold wake of the underwater vehicles will be formed at the sea surface in different region during sailing, then the underwater vehicles will be detected by airborne or space borne infrared detectors easily, which will imperil their security. A model between the detection probability and the Noise Equivalent Temperature Difference (NETD) of the detectors, and the temperature difference between the wake and the sea surface, etc., was established and the evaluation of detection probability in different discrimination levels and other parameters, such as time, location, atmosphere, sea, detector performance, wake temperature, etc., was realized, and a software named Wake Detection of Underwater Vehicle by Infrared (WDPUV-IR) was developed. The results showed that the detection probability to the wake with high detector performance or large temperature difference or short detection distance or low discrimination level was relatively high, but it was difficult to detect targets with small temperature difference and size when the atmospheric transmittance value was low.

Citation Download Citation

Wei Kou, Xuan Chen, Li Yang, and Fang-yuan Jin "Evaluation of wake detection probability of underwater vehicle by IR", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101572H (1 November 2016); https://doi.org/10.1117/12.2246860

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KEYWORDS

Sensors

Target detection

Infrared detectors

Atmospheric modeling

Atmospheric sensing

Infrared sensors

Sensor performance

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