When the airborne infrared imaging system searches and strikes ground targets, it is mainly used to extract target information from complex background interference images on the ground and transmit it to the driving or automatic guidance system, forming the position and motion information of the missile relative to the target, in order to better track the target and output information to control the missile's flight. The airborne infrared imaging system detects, recognizes, and the tracking performance is closely related to the infrared radiation characteristics of the background. This article focuses on the research of multiband characteristics of military application targets and backgrounds. On the basis of unified standards, a database management system is established to meet the management and query functions of measured infrared characteristics data of typical backgrounds such as deserts, grasslands, mountains, and forests in different seasons and at different times, as well as the development of an infrared imaging detection performance evaluation system, We studied the detection and recognition probabilities of infrared imaging systems for targets at different distances in different background environments, and provided theoretical calculation results for the detection range of a certain type of installed airborne infrared imaging detection system for 2m * 2m sized targets in the 3.7μm-4.8μm band at 9:00, 16:00, and 21:00 in a summer grassland background in a certain area. This provides support for the design and development of infrared imaging weapons and equipment.
In order to meet the needs of counter photoelectric detection and precision guidance weapons in modern air warfare, the spectral characteristics of smoke image jamming unit were tested. Based on the analysis of the factors affecting the smoke interference performance, a theoretical calculation model is established, and a feasible test method is proposed. A certain type of smoke jamming unit was tested. We obtained the smoke transmittance curveof0.4-0.76um,1.3-3um,3-5um,8-14um and MWIR and LWIR image of typical time period, which laid a foundation for the further development of smoke jamming unit with better performance.
This paper has carried out experiments on the influence of spectral resolution and channel number on the camouflage target recognition of imaging spectrometer. Based on the measured data, the camouflage helmet is selected as the spectral curve of camouflage target for resampling, and the spectral curve obtained under different spectral resolution and channel number conditions is simulated. Qualitative analysis is carried out by graphic method, interpolation operation is carried out on the resampling spectral data, and quantitative analysis is carried out by using SAM (Sepctral Angle Mapper) method. The resampling target characteristic spectral curve is compared with the original spectral curve in different ranges. The experimental conclusion is obtained by analyzing the spectral characteristics of the camouflage target under different spectral resolution and different channel number conditions, it can provide theoretical basis and technical support for the determination and optimization of spectral resolution and channel number of imaging spectrometer used for camouflage target recognition.
It is a great significance to study the simulation device of missile IR characteristics for improving the performance test of photoelectric detection equipment. Based on the analysis of the IR characteristic of the thermal radiation of the missile tail flame, a mathematical model of the thermal radiation of the missile tail flame is established, which is combined with the atmospheric transmittance model. The scheme design of structure module, temperature control module is given for MWIR and LWIR respectively. Taking a certain type of missile as an example, an experimental platform was built to verify the feasibility of the method.
Aiming at the application requirements of camouflage effectiveness evaluation of targets (personnel, vehicles covered with camouflage nets, aircraft and other camouflage equipment), a near-infrared light imaging spectrometer based on acousto-optic tunable filter (AOTF) is developed to collect the optical characteristic data of targets. By analyzing the AOTF light splitting principle and the synchronous control principle of the RF driver and COMS camera, combined with the actual needs of the imaging spectrometer in the project, the design scheme of the data acquisition system is formulated, the design process of the system based on the QT Creator platform is described in detail, and the acquisition software is developed.
As a highly concerned hyperspectral image target detection field, it has important research value and application prospects both in military and civil. Starting with the working principle and system structure of spectral imager based on AOTF, the polarization information pretreatment, judgment of connected area and contour extraction are added to the classical algorithm of CEM target detection, which provides a more reliable judgment basis for target detection. Finally, the target detection experiments on spectral images of metal objects are carried out. The results show that the detection efficiency of the proposed algorithm is significantly improved, and it is more suitable for detecting targets whose spectral characteristics are not obvious.
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