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.
The infrared remote sensing monitoring technology based on the absorption characteristics of gas molecules can detect gas components at long distance, real-time and multi-gas simultaneously.In this paper,we present the method of ethylene gas identification based on infrared absorption characteristics and carry out the field verification experiment of ethylene gas by infrared spectrometer. The effective experimental data are processed and analyzed by differential method and correlation coefficient method. The results indicate that the method can effectively identify the gas with high accuracy, and the research results provide a new technical approach for the effectively identification of gas.
The sunlight reflected from object surfaces is partly polarized, which is the useful information for polarized remote sensing. Therefore, it is important to perform the field polarization measurement, which can not only obtain the true physical polarization characteristics of object, but also be used to match with the polarimetric measured results from the airborne observation. However, there is no research concern the difference of polarized reflectance property between natural background and manmade objects in the natural environment. In this paper, we measure Visible-Near Infrared spectral polarized reflectance properties of two natural surfaces (soil and grass) and six manmade objects (cement and five painted materials) over the hemisphere directions in the field. The measurements are carried out with an automatic polarimetric spectrometer equipped with the goniometer. The results indicate that the polarization reflectance of manmade objects and natural background show the obvious anisotropic characteristics. The soil and grass produce the maximum reflectance value in the backscattering direction, which is opposite to the manmade objects. The polarized reflectance factor of manmade object is much greater than natural background, which can be used to effectively distinguish the object and the natural background. Our study has a great potential for target detection and identification in the field.
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