量子电子学报 ›› 2023, Vol. 40 ›› Issue (5): 770-779.doi: 10.3969/j.issn.1007-5461.2023.05.016

• 激光应用 • 上一篇    下一篇

一种基于高光谱激光雷达技术的涂改车牌识别方法

邵慧 1,2*, 马万里 1, 曹铮 1, 李伟 3, 杨丽娟 1, 肖晓 1,4, 陈杰 1,4   

  1. ( 1 安徽建筑大学电子与信息工程学院, 安徽 合肥 230601; 2 南京邮电大学江苏省图像处理与图像通信重点实验室, 江苏 南京 210003; 3 北京航空航天大学无人机学院, 北京 100191; 4 安徽省古建筑智能感知与高维建模国际联合研究中心, 安徽 合肥 230601 )
  • 收稿日期:2021-12-01 修回日期:2022-02-12 出版日期:2023-09-28 发布日期:2023-09-28
  • 通讯作者: E-mail: shaohui@ahjzu.edu.cn E-mail:E-mail: shaohui@ahjzu.edu.cn
  • 作者简介:邵 慧 ( 1979 - ), 女, 安徽长丰人, 博士, 教授, 硕士生导师, 主要从事激光雷达方面的研究。E-mail: shaohui@ahjzu.edu.cn。
  • 基金资助:
    安徽省自然科学基金面上项目 (2008085MF182), 江苏省图像处理与图像通信重点实验室开放课题 (2019-157), 安徽省高校省级自然科 学研究项目 (KJ2021JD16)

A recognition method for altered license plate based on hyperspectral lidar technology

SHAO Hui 1,2*, MA Wanli 1, CAO Zheng 1, LI Wei 3, YANG Lijuan 1, XIAO Xiao 1,4, CHEN Jie 1,4   

  1. ( 1 School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601, China; 2 Jiangsu Province Key Laboratory of Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing 210003, China; 3 Institute of Unmanned System, Beihang University, Beijing 100191, China; 4 Anhui International Joint Research Center for Ancient Architecture Intellisencing and Multi-Dimensional Modeling, Hefei 230601, China )
  • Received:2021-12-01 Revised:2022-02-12 Published:2023-09-28 Online:2023-09-28

摘要: 利用高光谱激光雷达系统采集涂改车牌空间-光谱域信息, 根据车牌逆反射特性, 设计基于光谱特征的两次 阈值法实现涂改车牌识别。首先计算光谱特征波长, 利用一次阈值法分离车牌部分和涂改部分; 其次, 计算特征波 段内车牌部分各点的光谱反射率曲线的梯度值, 利用二次阈值法判别涂改类型(背景转字符涂改和字符转背景涂 改); 最后, 根据涂改类型重建正确车牌字符, 将重建信息与二维平面数据融合得到正确的二维车牌图像, 送给车牌 识别系统进行识别。实验结果表明该方法可实现多种涂改材料以及多种涂改类型的涂改车牌识别。

关键词: 遥感, 高光谱激光雷达, 反射率, 涂改车牌

Abstract: Using the spatial-spectral information of the altered license plates collected by hyperspectral lidar system, a twice-threshold method based on spectral feature is designed to recognize the altered license plates according to their retroreflection characteristics. Firstly, the characteristic wavelength of the spectra is selected, then the plate part and the altered material part are separated using the first threshold method according to the reflectance at the wavelength. Secondly, calculate the gradient value of the spectral reflectance curve at each point of the license plate part in the characteristic band, and the second threshold method is used to distinguish the alteration types, such as background to character alteration and character to background alteration. Finally, the correct license plate characters are reconstructed based on the type of the alteration, and the correct license plate image is reconstructed with the fusion of twodimensional data and the corrected license plate characters, which is sent to the license plate recognition system. Experimental results show that this method can recognize altered license plates correctly regardless of different altered materials or different altered types.

Key words: remote sensing, hyperspectral lidar, reflectance, altered license plate

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