Analysis Of Infrared Spectra Characteristics Of High Temperature Plume And Selection Of Detection Bands

As the maneuvering and camouflaging capabilities of the detection target continue to increase,its detectability is further interfered with,and the detection performance of the detector is also increasingly higher.For infrared detection systems,in order to perceive information from multi-levels and multi-angles in the context of military concealment and disguise,it is necessary to use the spectral characteristics of the target infrared radiation,and at the same time to use image fusion techniques to mine the target's detailed features from infrared imaging.In this way,we can better achieve the detection and identification of the target.In order to improve the detection performance of airborne infrared detection system,the following research work has been done in this paper from the aspects of target environment radiation characteristics analysis,band selection and target detail feature mining.(1)In this paper,for high-speed flying target,the infrared radiation of the skin,the infrared radiation of the tail nozzle,and the infrared radiation of the plume were simulated respectively.At the same time,the influence of the different distribution of the plume components on the infrared radiation characteristics of the plume is discussed.The type of plume component determines the position of the radiation peak of the infrared spectrum of the plume,and the mass fraction of the plume component determines the magnitude of the radiation peak.(2)In view of the influence of atmospheric transmission on infrared radiation of targets,this article uses atmospheric transmittance calculation software MODTRAN for atmospheric transmission and atmospheric transmission at different altitudes,different detection distances,different detection zenith angles,different atmospheric models,and different weather conditions.The radiation was modeled and simulated,and the effects of the above different conditions on target's infrared radiation characteristics were analyzed,combining with the characteristics of the tail flame spectral radiation of the target aircraft.(3)The background radiation composition of the airborne infrared detection system is analyzed.Based on this,the effects of different observation angles,different background features,different atmospheric modes and different weather conditions on target background contrast are calculated.And determine the optimal detection band for different situations.(4)In order to fully exploit the details of the target,dual-band infrared image fusion technology was studied.Using image fusion algorithms based on non-subsampled Contourlet transform(NSCT)and pulse coupled neural network(PCNN),image fusion was performed on the two waveband images of medium-wave infrared.Compared with discrete wavelet transform(DWT),non-subsampled Contourlet transform and pulse coupled neural network,this algorithm has better fusion performance,deeply mines the details in the image,and enhances the contrast of target background to improve the system detection performance.