The use of photoelectric sensors to image the infrared radiation of the tail flame of a jet type high-altitude high-speed unmanned aerial vehicle is one of the technical points for discovering high-altitude targets and anti stealth. The difference in distance between targets in the field of view, as well as the limitations in sensitivity and spectral characteristics of photoelectric sensors, result in multifocal infrared images produced by photoelectric sensors. In order to independently master the multi focus infrared image fusion technology and quality evaluation standards, and facilitate the subsequent integration of artificial intelligence technology, algorithm design, autonomous recognition and tracking, the author conducted a systematic and comprehensive research on it. This article is one of the important contents of these research works. Using the wavelet transform fast decomposition and reconstruction algorithm (DWT) to calculate the fusion results of multifocal infrared images under different rules; the evaluation function for image fusion effectiveness was provided, and verification and analysis were conducted; from the perspective of the final observer of the multi focus infrared image, the definition of image definition quality factor is independent of the test image, observation conditions and observer's knowledge level; the principle of objective evaluation of image fusion quality (PAC) is calculated, and simulation experimental results and analysis are provided.
The jet high-altitude high-speed unmanned-aerial-vehicle(UAV) plume is the main source of infrared radiation and has special radiation characteristics compared with that of human aircraft,and is one of the anti-stealth technology points. In order to master the infrared radiation characteristics of high-altitude and high-speed UAV plume independently, and facilitate the design of subsequent algorithms and apply artificial intelligence technology to autonomous recognition and tracking, the authors make a systematic and comprehensive study on it. This paper is one of the important parts of the research. Geometric model of turbojet engine nozzle is established by Gambit software. The flow field of high-altitude high-speed UAV plume is numerically simulated by Fluent software. Considering airframe shading, infrared radiation intensity distribution of UAV plume is calculate by using spectral line Lorentz Broadening Effect and Doppler Broadening Effect in single-line spectral band theory(SLG). In this paper, the attenuation of infrared radiation in the atmosphere is calculated by the method of slope path transmission equivalent. The distribution of infrared radiation intensity of typical high-altitude high-speed UAV after atmospheric attenuation under different working conditions, different azimuth angle and observation elevation angle is calculated, and the influence of flight attitude of UAV on the distribution of infrared radiation intensity of its plume is analyzed.
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