A hybrid model of polarized BRDF for rough surfaces |
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| Authors: | Weiwei Feng Jinhua Li Qingnong Wei Lingxin Chen |
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| Institution: | 1. Meteorological Institute, Ludwig-Maximilians-University, Theresienstr. 37, Munich, Germany;2. Leibniz Institute for Tropospheric Research, Permoserstr. 15, Leipzig, Germany;3. Laboratoire d’Optique Atmosphérique, Université Lille, France;4. University of Colorado, Boulder, CO 80309, USA;5. Nanjing University of Information Science and Technology, China;6. Leipzig Institute for Meteorology, University of Leipzig, Stephanstr. 3, Leipzig, Germany;1. School of Geographical Science, Northeast Normal University, 5268 Renmin Street, Changchun 130024, China;2. Air and Space Information Department, Air Force Aviation University, Changchun 130022, China;3. College of Urban and Environmental Sciences, Changchun Normal University, 677 Changji Highway, Changchun 130032, China;1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;2. Key Laboratory of Unmanned Aerial Vehicle Telemetry, Guilin University of Aerospace Technology, Guilin 541004, China;3. School of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China |
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| Abstract: | A new hybrid model of polarized bidirectional reflectance distribution function (p-BRDF) based on the micro-facet theory for painted rough surfaces combined by physics and statistical method is proposed. A 4 × 4 matrix (Mueller matrix) is used to describe the character of the polarized light scattered from the surface. The p-BRDF excellently represents the properties of the complex surfaces, playing a major role to evaluate and simulate signatures of the natural or artificial targets. In the model, genetic algorithm is employed to obtain key parameters derived from the experimental data. Comparisons between the model calculation and experimental data are also discussed in detail for several painted surfaces. This model agrees well with the experimental data, indicating great applicable to target polarization feature extraction. |
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