With the continuous development and application of multispectral technology, multispectral cameras play an increasingly important role in the field of camouflage target reconnaissance. By simultaneously obtaining image data from different bands, they provide richer spectral information for target recognition. In the imaging requirements of high-speed dynamic scenes, fast and accurate registration of multispectral images has become a key technical issue, directly affecting the imaging quality and practicality of the system. In response to this situation, this article proposes an improved ORB image registration algorithm. Firstly, a scale pyramid is constructed and the ORB algorithm is used to extract feature points. The BEBLID descriptor is used to describe the feature points, and the nearest neighbor ratio (NNDR) algorithm is used for coarse matching; Then, based on feature point voting, an optimized geometric constraint is constructed to further optimize the feature points. The Random Sampling Consistency (RANSAC) algorithm is used to calculate the transformation matrix and obtain a high-precision transformation matrix; Finally, affine transformation is used to achieve image registration. The experimental results show that the algorithm has high registration accuracy and low registration time. Compared with traditional algorithms, the proposed algorithm has higher registration efficiency and can complete high-precision image registration while reducing image registration time.
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.
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.
The research on infrared spectral target signature shows great military importance in the domain of IR detection Recognition, IRCM, IR image guide and ir stealth etc. The measurements of infrared spectral of tactical targets have been a direct but effective technique in providing signatures for both analysis and simulation to missile seeker designers for many years. In order to deal with the problem of dynamic target infrared spectral signature, this paper presents a new method for acquiring and testing ir spectral radiation signatures of dynamic objects, which is based on an IR imager guiding the target and acquiring the scene at the same time, a FOV chopping scan infrared spectral radiometer alternatively testing the target and its background around ir spectral signature.ir imager and spectral radiometer have the same optical axis. The raw test data was processed according to a new deal with method. Principles and data processing methods were described in detail, test error also analyzed. Field test results showed that the method described in the above is right; the test error was reduced smaller, and can better satisfy the needs of acquiring dynamic target ir spectral signature.
Muzzle smoke produced by weapons shooting has important influence on infrared (IR) system while detecting targets. Based on the theoretical model of detecting spot targets and surface targets of IR system while there is muzzle smoke, the function range for detecting spot targets and surface targets are deduced separately according to the definition of noise equivalent temperature difference(NETD) and minimum resolution temperature difference(MRTD). Also parameters of muzzle smoke affecting function range of IR system are analyzed. Base on measured data of muzzle smoke for single shot, the function range of an IR system for detecting typical targets are calculated separately while there is muzzle smoke and there is no muzzle smoke at 8~12 micron waveband. For our IR system function range has reduced by over 10% for detecting tank if muzzle smoke exists. The results will provide evidence for evaluating the influence of muzzle smoke on IR system and will help researchers to improve ammo craftwork.
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