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基于偏振特性对石英玻璃和绿漆涂层的反演
引用本文:苏志强,颜昌翔,张军强,杨斌.基于偏振特性对石英玻璃和绿漆涂层的反演[J].中国光学,2016,9(5):547-553.
作者姓名:苏志强  颜昌翔  张军强  杨斌
作者单位:1. 中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033; 2. 中国科学院大学 北京 100049
基金项目:国家高技术研究发展计划(863计划)资助项目(No.2011AA12A103),长春光机所创新资助项目(No.Y4CX1SS143)
摘    要:物质的偏振特性与其复折射率、表面粗糙度以及观测几何条件有关,为了应用偏振探测技术实现对目标的定量反演,本文首先对两种典型目标(绿漆涂层和石英玻璃)的偏振特性进行了实验测定,并对偏振度与探测天顶角的关系进行了分析。利用实验数据并基于描述目标偏振特性的PG模型首次在考虑了粗糙度的影响下,对目标的折射率、消光系数进行了定量反演,最后将反演结果与参考结果进行比较。结果表明,石英玻璃的折射率相对误差为4.944 9%,绿漆涂层的折射率与消光系数的相对误差分别为11%和21.558 9%。该方法在考虑表面粗糙度的条件下能够更精确地测定物质的复折射率,同时也为偏振技术应用于目标定量反演提供了依据。

关 键 词:偏振遥感  目标识别  复折射率  粗糙度
收稿时间:2016-04-02

Inversion of quartz glass and green paint based on polarization characters
SU Zhi-qiang,YAN Chang-xiang,ZHANG Jun-qiang,YANG Bin.Inversion of quartz glass and green paint based on polarization characters[J].Chinese Optics,2016,9(5):547-553.
Authors:SU Zhi-qiang  YAN Chang-xiang  ZHANG Jun-qiang  YANG Bin
Institution:1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:The polarization characters of the material are connected with its complex refractive index, roughness of the surface and the observation conditions. In order to apply polarization detection technology to achieve the target's quantitative retrieval, firstly, the polarization characters of two typical objects(a kind of green paint and quartz glass) are measured in this paper, and an analysis on the relationship between DOP and detection zenith angle is carried out. Then, considering the influence of the roughness, the refractive index and extinction coefficient are quantified inversed for the first time based on the experimental data and the PG model describing objects' polarization properties. Finally, comparison is made between the inverse result and the reference data. The result shows that the relative error of the refractive index for the quartz glass is 4.9449% and the relative error of refractive index and extinction coefficient for the green paint is 11% and 21.5589% respectively. By considering the roughness of the objects, this method can retrieve the complex refractive index more accurately and it also provides the gist for polarization detection used in quantitative inversion.
Keywords:polarization remote sensing  object detection  complex refractive index  roughness
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