光学 精密工程, 2017, 25 (8): 2233, 网络出版: 2017-10-16   

偏振场景目标探测的建模与仿真

Modeling and simulation for target detection in polarization scene
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
摘要
针对用光学遥感技术探测复杂场景下的目标时,真实环境下的目标、背景反射以及大气气溶胶辐射之间具有相当大的互干扰性,本文研究了偏振场景目标的建模与仿真技术。介绍了偏振场景仿真的光学理论与偏振模型基础,对Priest-Germer模型进行了数值仿真与分析。基于Priest-Germer模型,开发了偏振视景目标探测仿真软件,给出仿真软件的设计思想和软件框架。介绍了偏振双向分布反射函数模型,给出其偏振形式的Stokes表达式并进行数值仿真分析。给出了两种目标模型分别赋予两种不同表面材质时在440nm和600nm波长辐照条件下的4组偏振仿真实验及偏振图像的灰度直方图,并进行比较和分析,结果表明: 基于Priest-Germer模型的偏振仿真软件对目标、辐照波长、材质具有较高的敏感性,能够提供较好的分辨和识别能力。
Abstract
There is complex mutual interference among targets, background reflection and aerosol radiation under a real environment when optical remote sensing technology is used to detect targets in complex scene. This paper explores the technology of modeling and simulation for targets in a polarization scene. The optical theories and polarization model basis were introduced, and numerical simulation and analysis for Priest-Germer model were implemented. The simulation software for the detection of targets in the polarization scene was developed and the design idea and frame of the software were given. Then, the model for Polarization Bidirectional Reflectance Distribution Function was introduced, and its Stokes expression was given and analyzed in numerical simulation. Four groups of polarization simulation experiments and gray level histograms of polarization images under wavelength irradiation conditions of 440 nm and 600 nm for two different surface materials were given respectively for two given target models, and a comparative experiment was analyzed. The experiment results indicate that polarization simulation software based on Priest-Germer model is sensitive to different targets, irradiation wavelengths and materials, and provides better resolution and identification ability.

李岩, 张伟杰, 陈嘉玉. 偏振场景目标探测的建模与仿真[J]. 光学 精密工程, 2017, 25(8): 2233. LI Yan, ZHANG Wei-jie, CHENJia-Yu. Modeling and simulation for target detection in polarization scene[J]. Optics and Precision Engineering, 2017, 25(8): 2233.

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