Polarization is a primary characteristic of electromagnetic wave. Polarization is another field of the light except the intensity, wavelength, and coherence. Polarization can indicate the different attributions that decided by objects, such as surface features, roughness, shading, shape and so on. Polarization Imaging is a useful complement to traditional intensity and spectral imaging methods with great potential in many application fields. In the future war, the advantages of polarization are significant for target detection and recognition in the increasingly complicated battlefield environment. In this paper, the research progress is generally introduced in military application in four fields: 1) target polarization characteristics and simulationenhance contrast, distinguish the target and background; 2) polarization transmission characteristics-observe target through the smoke and fog of War; 3) polarization imaging detection methods-improve the imaging quality, enhance the information available; 4) polarization image processing-improve detection and tracking performance.
a. institute of space photoelectric technology changchun university of science and technology ,changchun, jilin 130022 b. institute of telecommunications changchun university of science and technology, changchun, jilin 130022 c. college of The computer changchun university of science and technology, changchun, jilin 130022) Abstract:Polarization imaging detection technology in addition to the traditional imaging information, also can get polarization multi-dimensional information, thus improve the probability of target detection and recognition.Image fusion in turbid medium target polarization image research, is helpful to obtain high quality images. Based on visible light wavelength of light wavelength of laser polarization imaging, through the rotation Angle of polaroid get corresponding linear polarized light intensity, respectively to obtain the concentration range from 5% to 10% of turbid medium target stocks of polarization parameters, introduces the processing of image fusion technology, main research on access to the polarization of the image by using different polarization image fusion methods for image processing, discusses several kinds of turbid medium has superior performance of polarization image fusion method, and gives the treatment effect and analysis of data tables. Then use pixel level, feature level and decision level fusion algorithm on three levels of information fusion, DOLP polarization image fusion, the results show that: with the increase of the polarization Angle, polarization image will be more and more fuzzy, quality worse and worse. Than a single fused image contrast of the image be improved obviously, the finally analysis on reasons of the increase the image contrast and polarized light.Polarization refers to the spatial distribution of wavelengths of the electric vector vibration relatively light direction of propagation loss of symmetry [41].Polarization is shear wave characteristics of a kind of external performance, is an independent light (light intensity), amplitude of the wavelength (frequency, spectrum, color), the intrinsic characteristics of another important phase.Different goals will exhibit polarization characteristics determined by its own nature. Calculation of the image of polarization parametersThe characterization methods for the polarization characteristics of target including Stokes (Stokes) method, Jones matrix method (Jones), in which Stokesput forward in 1852 with four parameters (Stokes parameters) to describe thepolarization state of light intensity and the Stokes vector method [43] .
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.