In view of the problem of attenuation or polarization state change caused by atmospheric radiation transmission in the long-distance path transmission of target polarization information, the atmospheric polarization characteristics based on atmospheric vector radiative transmission are studied, and the polarization characteristic modeling is completed. First using rough sea surface Cox-Munk model and Fresnel reflection law to simulate the real sea surface radiation state, determine the environmental data needed for the simulation, then based on radiation transmission simulation tools analysis of atmospheric Rayleigh scattering and aerosol scattering influence on the polarization radiation state, finally with the sea surface radiation state coupling get atmospheric top polarization radiation state. In order to verify the correctness of the proposed modeling method, the modeling results of this method are compared with the data actually obtained by the polarization detector of DPC. The results show that the overall trend and consistency of the observed and simulated values are good. This method can effectively simulate the polarization characteristics of the sea atmosphere in sunny and cloudy weather and provide good data support for the offshore polarization detection in sunny and cloudy weather conditions.
To overcome the draw back of traditional false color fusion methods for polarization images , a new false color fusion method is proposed in this paper.Firstly, all of the polarization parameter images are obtained by polarization information analysis.Then the robustness of the obtained polarization information is estimated by the spatial distribution characteristics of the polarization angle. Finally, an alternate mapping for the strong polarization characteristic region ( the target region) and the noise region (the background region) is accomplished.The experimental results show that the proposed method has good quality and is easy to be further segmented and identified.
Aiming at the problem of the low contrast between target and background in the detected UAV target intensity images, a low-speed and small UAV targets detection and tracking method based on polarization imaging detection is proposed. Based on the analysis of the polarization imaging characteristics of low-speed and small UAV targets, through polarization image analysis, single-frame detection based on spatial filtering and adaptive threshold segmentation, continuous frame target trajectory association based on spatiotemporal information, and improved KCF algorithm Target tracking and other processing processes have realized the effective detection and tracking of low-speed and small UAV targets.
Compressed sensing (CS) techniques have shown promise for radar imaging applications due to the excellent images they can produce. In this paper, a two dimensional (2D) sparse signal model for turntable radar imaging is developed, and a 2D CS based image reconstruction algorithm with a hyperbolic tangent constraint is proposed to improve the imaging performance and avoid the huge computational burden of 1D CS based methods, which require a tremendous amount of memory and computational resources. The augmented Lagrange multiplier and a 2D iterative soft thresholding function are used for solving the minimally sparse nonconvex optimization problem with parameter adjustment. Moreover, its convergence can be proved. Experimental results are presented to demonstrate the validity of the proposed approach.
The spatially modulated full polarization imaging technology can simultaneously acquire the target full polarization parameter, and the spectral aliasing and interference intensity existing in the polarization information demodulation result in low spatial resolution and false information in the frequency domain reconstruction target image. The polarization component images are reconstructed and restored by selecting filters of different bandwidths and matching the adaptive filters. The experimental results show that under different filter bandwidths, the system exhibits different modulation spectrum characteristics and is matched by filters. The design improves the image reconstruction restoration effect and provides reference for polarization detection and analysis research.
From image processing angle, the research on the infrared characteristics of burning decoy based on sets of measured infrared images is developed. After that, the infrared imaging model of the decoy is constructed. At last the lifetime infrared images of decoy are generated. In order to achieve the above objectives, firstly, an accurate segmentation and extraction for burning area, radiation area and burning trail of decoy is accomplished; secondly, the infrared imaging model of the decoy based on lifetime, size and gray of each part of the decoy is constructed; lastly, the infrared images of decoy are simulated by combination of billboard texture mapping technology and particle modeling. This paper provides the method combining Billboard and particle system with the trajectory of nodes, the system can enhance the precision of characteristics simulation and motion simulation for the infrared decoy, thus increase the real-time ability.
Evaluating the laser interference effect to CCD objectively and accurately has great research value. Starting from the change of the image’s feature before and after interference, meanwhile, considering the influence of the laser-spot distribution character on the masking degree of the image feature information, a laser interference effect evaluation method based on character of laser-spot and image feature was proposed. It reflected the laser-spot distribution character using the distance between the center of the laser-spot and center of the target. It reflected the change of the global image feature using the changes of image’s sparse coefficient matrix, which was obtained by the SSIM-inspired orthogonal matching pursuit (OMP) sparse coding algorithm. What’s more, the assessment method reflected the change of the local image feature using the changes of the image’s edge sharpness, which could be obtained by the change of the image’s gradient magnitude. Taken together, the laser interference effect can be evaluated accurately. In terms of the laser interference experiment results, the proposed method shows good rationality and feasibility under the disturbing condition of different laser powers, and it can also overcome the inaccuracy caused by the change of the laser-spot position, realizing the evaluation of the laser interference effect objectively and accurately.
KEYWORDS: Infrared radiation, Infrared imaging, Modulation transfer functions, Sensors, Infrared detectors, Target detection, 3D modeling, Atmospheric modeling, Atmospheric optics, Signal to noise ratio
A rapid method to generate infrared images based on image synthesis is proposed in this paper. At first, a three-dimension geometric model of the airplane is created by 3DMax software. Infrared radiance model of the airplane in accordance with infrared radiation theory is established, and the impact of atmospheric attenuation is considered, then the infrared images of airplane are generated. Finally, the synthesis of the generated images and actual shooting background images is achieved. To improve simulation reliability and fidelity, several aspects are thought in this paper for the synthesis, they are the atmospheric effect, the optical of imaging system effect, the random noise of detector, the synthesis revision of generated image and actual shooting background image. Experiment show that the simulation credibility is improved obviously, and the synthesis speed is advanced to 100 frames per second. The running environment is: PC, 512MB of RAM, 1.60GHz of CPU frequency. This method will be reference for testing and evaluating infrared search and track system.
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