Abstract
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’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.
Highlights
The detectability investigation of infrared radiation gives very important guiding and reference for the performance evaluation and design of infrared detection system [1,2,3]
Many improvements have been made by researches in recent years, including shearlet features [4,5], high-order cumulant [6], local energy [7], non-convex optimization with regularization constraint [8,9,10,11,12,13]
This paper focuses on analyzing the detectability of flame from the perspective of image by using the existing target and background data, and builds an image-based analysis model of detectability
Summary
The detectability investigation of infrared radiation gives very important guiding and reference for the performance evaluation and design of infrared detection system [1,2,3]. In order to achieve its detection and evaluation, it is necessary to consider the energy state after the coupling between the flame and the atmosphere and it is related to the detection angle and altitude. The research of flame radiation and flow field modeling has been published in many papers [1,2,3]. This paper focuses on analyzing the detectability of flame from the perspective of image by using the existing target and background data, and builds an image-based analysis model of detectability. We uses MODIS remote sensing data and MODTRAN calculation data to simulate the infrared image of the earth’s atmospheric background radiation through the spectral correlation based conversion model of the surface radiation band. The detectability of plume radiation is studied and analyzed by some image quality evaluation model
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