光学学报, 2014, 34 (10): 1028001, 网络出版: 2014-09-09   

基于强度图像和地物偏振反射率数据的光学遥感偏振成像仿真分析

Analyzing of Optical Remote Polarization Imaging Simulation Based on Intensity Images and Surface Polarized Bidirectional Reflectance Data
作者单位
1 中国科学院安徽光学精密机械研究所, 安徽 合肥 230031
2 中国科学技术大学物理学院, 安徽 合肥 230026
摘要
为获得满足偏振成像探测器的研制所需的偏振成像样本,并解决现有偏振遥感仿真分析中普遍缺乏实测数据支持的问题,提出了一种基于强度图像和实测地物偏振反射率数据的偏振成像仿真方法,介绍了其实现过程,并且得到了不同大气几何条件下的卫星高度偏振仿真图像。通过与强度仿真图像定量的对比表明,偏振成像对比度受大气能见度的影响较弱,在低能见度及后向散射条件下或者某些特定方向上优势更为突出。偏振成像的清晰度对观测方向较为敏感这一属性可以指导选择特定的方向进行偏振探测,并最终提升雾霾条件下偏振成像对地遥感的目标识别能力。
Abstract
For getting the samples of polarization imaging needed by the development of polarization imaging sensors and compensating the lack of experimental data usually in the research of polarization imaging simulation, a method of polarization imaging simulation based on the combination of intensity images and experimentally measured surface polarized bidirectional reflectance data is proposed. Several of the simulated images under different atmospheric and geometric conditions at the height of satellite are provided to illustrate the realization processing of the method. The comparison with the simulated intensity images in the same circumstance shows that, the contrast of polarization images are less affected by low visibility, the advantage appears more prominent in the conditions of backscatter or some particular directions. The fact that the clarity of polarization imaging is more sensitive to observational direction suggests that the simulation is helpful for the selection of a specific direction for polarization imaging. Eventually, it is helpful for enhancing the ability of identifying the ground target in haze conditions through polarization imaging.

黄红莲, 易维宁, 乔延利, 杜丽丽, 崔文煜. 基于强度图像和地物偏振反射率数据的光学遥感偏振成像仿真分析[J]. 光学学报, 2014, 34(10): 1028001. Huang Honglian, Yi Weining, Qiao Yanli, Du Lili, Cui Wenyu. Analyzing of Optical Remote Polarization Imaging Simulation Based on Intensity Images and Surface Polarized Bidirectional Reflectance Data[J]. Acta Optica Sinica, 2014, 34(10): 1028001.

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