The interpretation of infrared polarization image is contingent upon the accuracy of image registration. Given the inherent limitations of infrared polarization imaging, include low resolution and blurred texture details, the image registration must be robust and precise. This paper presents the results of feature point extraction and image matching experiments conducted with infrared intensity images acquired by infrared polarization imaging system with three different polarized directions: 0°, 120°, and 240°. The performances of the scale invariant feature transform(SIFT), speedup robust features (SURF) and oriented fast and rotated brief (ORB) algorithms are compared with respect to computational speed and accuracy. The results demonstrate that, in the case of large-target infrared polarization scenes, the SIFT algorithm is able to extract the greatest number of feature points and has the highest matching accuracy in comparison with the SURF and ORB algorithm. Furthermore, the ORB algorithm is the fastest in terms of computational speed, with a speed that is more than 1.5 times that of the other two algorithms. In the case of small-target infrared polarization scenes, the registration accuracy and speed of the three algorithms are comparable. The SIFT algorithm is therefore more suitable for rapid registration processing of infrared polarization of small-target scenes. It is necessary to select the most appropriate registration algorithm in accordance with the specific requirements.
The characteristics of space targets are the basis of detecting and identifying space targets. The size, shape and material of the space target are closely related to its scattering characteristics. Starting with the three typical influencing factors of dimensional accuracy, shape and material, this paper designed a typical simple body and assembly model with 15% dimensional accuracy, different shapes and different materials, and analyzed the influence of dimensional accuracy, shape and material on scattering characteristics according to the calculation results of the model's omnidirectional luminosity. The research results show that, when the size deviation is less than 15%, it has little effect on the scattering characteristics of the target. When the size is equivalent, the influence of different shapes on the scattering characteristics of the target is not significant, and the surface material has the greatest influence on the scattering characteristics of the target.
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.
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