Investigating Detectability of Infrared Radiation Based on Image Evaluation for Engine Flame

Autor: Li Xia, Wang Jun, Liu Xingrun, Zhenming Peng, Meihui Li
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Entropy, Vol 21, Iss 10, p 946 (2019)
Entropy
Volume 21
Issue 10
ISSN: 1099-4300
Popis: Aiming at the application requirements of infrared detection, the influence of earth background interference on plume radiation detection is investigated and discussed in this article. The infrared image of the earth&rsquo
s atmospheric background radiation is simulated by the spectral correlation based on the conversion model of the surface radiation with different bands. The infrared radiation image of the jet flame and the background is generated by overlapping the infrared radiation of the engine flame and the background radiation according to the detection angle of view. Through the image quality evaluation model, the detectability of the flame is analyzed. The simulating results show that the comprehensive statistical features such as image information entropy, variance and signal-to-clutter ratio can be used to evaluate the detectability of the engine flame.
Databáze: OpenAIRE
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