吉林大学学报(理学版) ›› 2024, Vol. 62 ›› Issue (2): 369-0380.

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基于偏振方向统计特性的目标背景差异特征分析

段锦1,2, 张文学2, 莫苏新1,2, 姜晓娇2, 高美玲2   

  1. 1. 长春理工大学 重庆研究院, 重庆 401120;2. 长春理工大学 电子信息工程学院, 长春 130022
  • 收稿日期:2023-04-24 出版日期:2024-03-26 发布日期:2024-03-26
  • 通讯作者: 段锦 E-mail:duanjin@vip.sina.com

Analysis of Target Background Difference Feature Based on Statistical Characteristics of Polarization Direction

DUAN Jin1,2, ZHANG Wenxue2, MO Suxin1,2, JIANG Xiaojiao2, GAO Meiling2   

  1. 1. Institute of Chongqing Research, Changchun University of Technology, Chongqing 401120, China; 2. College of Electronic Information Engineering, Changchun University of Technology, Changchun 130022, China
  • Received:2023-04-24 Online:2024-03-26 Published:2024-03-26

摘要: 针对目前使用偏振参量图像分析目标背景差异的传统方法未充分考虑光作用物体后产生独特的偏振属性问题, 提出一种基于偏振方向特征统计特性的目标背景差异特征分析方法, 从一种新的偏振方向信息分析目标背景差异. 首先, 通过提取偏振角图像中的偏振方向信息构建偏振方向矢量图像, 解决了由于噪声较多导致的偏振角图像无法有效直接利用的问题; 其次, 分别对4种偏振方向强度图像进行正交差分计算, 得到偏振正交差分分量图像, 并补充偏振方向周围±α偏振角度强度图像信息, 得到偏振方向统计图像, 通过提取出4种偏振方向的3种偏振特征图像, 解决了传统偏振参量图像复杂背景下目标不突出的问题. 实验结果表明, 不同材质的物体具有不同的偏振方向, 而通过提取偏振方向信息获取的偏振方向特征图像能更清晰地辨别复杂背景中的目标. 客观评价指标表明, 在偏振方向矢量图像中, 目标区域的偏振方向朝向所对应的偏振方向特征图像, 表达目标的信息更丰富, 与其他偏振方向所对应的偏振方向特征图像相比, 更能突出目标的特征. 因此, 通过偏振矢量图像可以快速提取出目标特征突出的偏振特征图像.

关键词: 偏振图像, 偏振方向, 特征提取, 偏振统计特性

Abstract: Aiming at  the problem that the current traditional method of analyzing target background difference using polarization parametric images did not fully consider the unique polarization properties generated by light acting on objects, we proposed a target background difference feature analysis method based on the statistical characteristics of polarization direction features, from a new  polarization direction information to analyze target background difference. Firstly, the polarization direction vector image was constructed by extracting the polarization direction information from the polarization angle image, which solved the problem that the polarization angle image could not be used effectively and directly due to too much noise. Secondly, the orthogonal difference calculation was carried out for the four polarization direction intensity images respectively to obtain the polarization orthogonal difference component images, and the information of the polarization angle intensity images around the ±α polarization direction was supplemented to obtain the polarization direction statistical images. By extracting the three polarization feature images of the four polarization directions, the problem of traditional polarization parametric images with less prominent target in the complex background was solved. The experimental results show that objects of different materials have different polarization directions, and the polarization direction feature image obtained by extracting the polarization direction information can more clearly identify the target in the complex background. The objective evaluation index show that the polarization direction feature image corresponding to the polarization direction orientation of the target area in the polarization direction vector image is richer in expressing the information of the target, and is more informative than the polarization direction feature image corresponding to other polarization directions.  Therefore, the polarization vector image can be used to quickly extract the polarization feature image with prominent target features.

Key words: polarization image,  , polarization direction, feature extraction, polarization statistical characteristics

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