KEYWORDS: Unmanned aerial vehicles, Infrared radiation, Thermography, Calibration, Infrared imaging, Black bodies, Signal intensity, Transmittance, Data transmission, Solar radiation
Studying the infrared radiation characteristics of UAV is of great significance. This paper first completes the radiation calibration of the mid-wave infrared thermal imager, and then conducts multi-angle radiation characteristics tests on the ground static UAV. MODTRAN software is used to calculate the atmospheric transmittance and path radiation and complete the inversion calculation of the UAV radiant intensity and atmospheric transmission revision. The test results show that the infrared radiation of UAV has directionality, and the radiation characteristics of UAV in the side tail direction are the strongest, which is mainly represented by engine radiation, and the radiant intensity of UAV increases significantly with the acceleration of engine speed.
Infrared radiation characteristic measurement uses the infrared thermal imager that has been calibrated to measure and invert the infrared radiation characteristics of the target, which is a direct method to obtain the real radiation characteristics of the target. This paper proposes a method for infrared radiation characteristics based on real-time calibration of atmospheric correction parameters. This method first completes the radiation calibration of the long-wave thermal imager, then uses the surface blackbody as the standard radiation source, and uses the long-wave thermal imager to obtain the actual atmospheric transmittance. By establishing an exponential model, the correction factor between the theoretical atmospheric transmittance calculated by MODTRAN and the measured atmospheric transmittance is obtained, and the theoretical atmospheric transmittance calculated by MODTRAN is corrected by this correction factor, so that the measurement and inversion of the infrared radiation characteristics of the target to be measured can be realized. The experimental results show that the error of the target characteristic measurement result obtained by this method is less than 5%, which is higher than the traditional target radiation characteristic measurement accuracy obtained by directly using MODTRAN to correct the influence of atmospheric transmission.
KEYWORDS: Video, Infrared imaging, Signal detection, Signal processing, Video processing, Infrared search and track, Infrared detectors, Imaging systems, Target detection
As a passive detection system, the infrared search and tracking (IRST) system is widely used in the search and tracking of high-speed targets. In order to ensure stable tracking of high-speed targets, the infrared search and tracking system has a high image frame rate, and even through the window function of the infrared detector, the image output frame rate can reach hundreds or even thousands of Hz. At the same time, in order to facilitate visual observation, the detection system should also have an analog video display function, and the common analog video frame rate is generally 25 Hz or 30 Hz. Therefore, it is necessary to realize the analog video display of high frame rate video stream through frame rate conversion. Aiming at the above problems, an adaptive frame rate conversion method is proposed and implemented on the infrared imaging hardware platform of the detection system. The experimental results show that the adaptive characteristics of the method have good versatility, and the frame rate conversion can be easily and stably realized.
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