To analyze the scattering spectropolarimetric characteristics of metal surface and the distribution in the hemi-sphere space, a spectropolarimetric bidirectional reflectance distribution function is established based on microfacet theory with the consideration of the spectral property of the refraction index and extinction coefficient for metal. The model simulation analysis is carried out for the metal aluminum material, and the simulation data are compared with other literature. The results show that this model can accurately describe the scattering spectropolarimetric characteristics of aluminum surface and obtain the spectropolarimetric under the arbitrary incident or observation condition. This work provides a theoretical basis for actual measurements.
To solve the problem that target recognition in infrared detection blindness, a DoFP infrared polarimetric imagery is designed. The top of the infrared detector pixel, based on a domestically made uncooled long-wave infrared focal plane array detector, integrates a micro-polarizer array with different polarization directions. Then, according to the infrared intensity image, infrared DoLP image, and infrared AoP image of the infrared blind spot scene, which have different physical properties and imaging characteristics, a multi-polarization parameter infrared polarization fusion method is integrated at the information processing end of the detector, and the fusion criterion of polarization color mapping is adopted. The test results show that the system can output the infrared intensity, DoLP, AoP and infrared polarization fusion enhanced image of the target scene in real time, and can effectively detect the target in the infrared blind area. The study has great potential for camouflage recognition and polarization remote sensing.
Simulation of rocket plume infrared images by computer programs is an important method to study their infrared radiation characteristics. In order to improve the computation efficiency, a simulation method based on CUDA was proposed. Firstly, the characteristics of the LOS (Line of Sight) method in radiative transfer calculation were analyzed. All the path points of LOS method were calculated in advance, and the parallel level was promoted to the number of path points of LOS method and bands of spectrum. In this case, more threads could be mobilized at the same time, and the utilization of GPU was improved. Secondly, A hardware bilinear interpolation method using CUDA texture memory was proposed, which greatly improved the calculation efficiency of physical parameters of the components. Finally, CUDA was also used for acceleration in the projection imaging module of spaceborne infrared sensor. The simulation results show that using CUDA for parallel computing to realize physical parameters search and projection imaging can greatly improve the overall simulation efficiency of rocket plume infrared images.
This paper presents focus on physical feature extraction and parameter estimation for satellites in space. In the context of increasingly prominent space security issues, it is necessary to improve the security and protection capabilities of the space system, especially the refined feature extraction and recognition technology of space targets. However, the feature extraction methods based on optical or radar imagery are limited by resolution and observation conditions, making it difficult to extract refined features. This paper is based on the attribute scattering center theory, using high-frequency electromagnetic wave detection method. Through the attribute parameter estimation result of the scattering center, the scattering structure on the space target can be identified and its distribution position can be analyzed, and the structure and size of the typical parts in the space target can be extracted. Aiming at the problem of high parameter dimension and large amount of calculation, an attributed scattering centers parameter estimation method with amplitude and phase separation is proposed, which reduces the time complexity of parameter estimation by an order of magnitude, saves system resources and increases the parameter estimation rate, and the estimation accuracy is better than 90%. In terms of the efficiency and accuracy of parameter estimation from simulation and experimental data, the effectiveness of the proposed method in this paper is verified.
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