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The Modeling And Detetion Research Of Atmospheric Polarization Pattern Feature Based On The All Sky Distribution Characteristic

Posted on:2015-07-24Degree:MasterType:Thesis
Country:ChinaCandidate:Z Q WangFull Text:PDF
GTID:2310330473459336Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
The Atmospheric polarization pattern (APP) contains a wealth of information. By analyzing the distribution features of APP, the spatial orientation, surface characteristics and the atmospheric composition can be obtained. So the study of APP is significant in polarization navigation, bio-sensing mechanism of polarization, analysis of atmospheric optical properties and remote sensing, etc. Based on the theory of atmospheric scattering, the distribution and change features are studied and analyzed. The features of APP in the ideal and turbid atmospheric environment are studied by modeling. And two detection methods of The APP neutral points are designed and realized.The main contents are as follows.(1) On the basis of the Rayleigh scattering theory, the APP's shape feature is modeled to build an analytic equation for this feature. Comparing with the Rayleigh model, the correctness of the analytic equation is proved. Based on the equation, the ideal APP's distribution features are analytical analysis.(2) With the analysis of the APP's degree of polarization (DOP) and neutral line's distribution feature, two detection methods of the APP's neutral points are proposed in the paper. The results of experiment show that, both of the two methods can identify and detect the neutral points correctly, and by averaging the results of two methods the detection accuracy can be further improved.(3) Improving the Monte Carlo method, a new APP model is set up. This model realizes modeling the turbid APP with describing the atmosphere by 3D celestial sphere, and simulating the sunlight transmission by Monte Carlo method. The experiments show that, the simulation of this model fit the real turbid APP very well. Using the model, the distribution and change feature of turbid APP can be analyzed and forecasted.
Keywords/Search Tags:Atmosphere polarization pattern, Scattering, Radiative transfer, Neutral points, Monte Carlo methods
PDF Full Text Request
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