Research on the dual-waveband thermometry model for dim small targets

Xiaoxiao Wu; Yanbing Dong; Hongxia Mao; Zheng Liu

doi:10.1117/12.2268279

8 March 2017 Research on the dual-waveband thermometry model for dim small targets

Xiaoxiao Wu, Yanbing Dong, Hongxia Mao, Zheng Liu

Proceedings Volume 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016; 1025549 (2017) https://doi.org/10.1117/12.2268279
Event: Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 2016, Jinhua, Suzhou, Chengdu, Xi'an, Wuxi, China

Abstract

In the field of target recognition, target detection and tracking can be achieved by measuring the temperature of it. At present, most of the temperature measurement technologies are used for surface targets. Dim small targets are often faced with several problems during temperature measurement, such as the low filling rate of field, unknown emissivity and serious noise interference. Referring to the current issues about dim small targets temperature measurement, this paper built a new model for dual-waveband thermometry of them based on the wavelet analysis theory and neural network theory, obtaining the dual-waveband thermometry results of the dim small targets which are very close to the theoretical temperature. What’s more, the model validation is carried out by using the measured data of dim small targets. Analysis results show that the new model is more suitable to measure the dim small targets temperature of the radiation intensity signal-to-noise ratio within the scope of 3-8, laying the theoretical foundation and technical foundation for the recognition of dim small targets.

Citation Download Citation

Xiaoxiao Wu, Yanbing Dong, Hongxia Mao, and Zheng Liu "Research on the dual-waveband thermometry model for dim small targets", Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 1025549 (8 March 2017); https://doi.org/10.1117/12.2268279

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KEYWORDS

Temperature metrology

Thermometry

Wavelets

Neurons

Neural networks

Signal to noise ratio

Interference (communication)

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