一种基于多光谱偏振信息融合的条纹像自适应重构方法

翟宇; 解森; 李文豪; 李璇; 罗秀丽; 郭尚伟; 王黎明

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一种基于多光谱偏振信息融合的条纹像自适应重构方法

光学传感与测量 | 更新时间：2026-07-23

- 一种基于多光谱偏振信息融合的条纹像自适应重构方法
- A streak image adaptive reconstruction method based on multispectral polarization information fusion
- 光学技术 2026年52卷第4期页码：481-490
- 作者机构：
  
  1.中北大学，极限环境光电动态测试技术与仪器全国重点实验室，山西太原 030051
  2.中北大学，智能探测技术与装备山西省重点实验室，山西太原 030051
  3.北京航天自动控制研究所，北京 100854
  4.宇航智能控制技术全国重点实验室，北京 100854
  5.苏州职业技术大学，电子信息工程学院，江苏苏州 215104
- 作者简介：
  
  翟宇（1992— ），男，讲师，博士，从事目标探测识别研究。zhaiyu@nuc.edu.cn
  郭尚伟（1996— ），男，工程师，博士，从事目标探测识别研究。shwguo_12s@163.com
- 基金信息：
  
  山西省基础研究计划(202303021212207)
- DOI：
  中图分类号： TP391.41
- 收稿：2026-05-20，
  
  修回：2026-06-08，
  
  录用：2026-06-23，
  
  网络首发：2026-07-23，
  
  纸质出版：2026-07-20
- 稿件说明：
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翟宇,解森,李文豪等.一种基于多光谱偏振信息融合的条纹像自适应重构方法[J].光学技术,2026,52(04):481-490.

ZHAI Yu,XIE Sen,LI Wenhao⁵,et al.A streak image adaptive reconstruction method based on multispectral polarization information fusion[J].OPTICAL TECHNIQUE,2026,52(04):481-490.
翟宇,解森,李文豪等.一种基于多光谱偏振信息融合的条纹像自适应重构方法[J].光学技术,2026,52(04):481-490. DOI：

ZHAI Yu,XIE Sen,LI Wenhao⁵,et al.A streak image adaptive reconstruction method based on multispectral polarization information fusion[J].OPTICAL TECHNIQUE,2026,52(04):481-490. DOI：

摘要

针对传统条纹管激光雷达在复杂散射环境中对低反射率目标探测能力不足，以及目标与背景反射率接近时成像对比度降低的问题，构建了一种基于多光谱偏振的条纹管激光雷达成像系统，并提出了一种多通道数据的自适应重构方法。该系统通过多光谱发射与偏振成像机制，实现光谱信息与偏振信息的同步获取。在条纹像重构过程中，利用同一波长下不同偏振分量的强度差异表征回波信号的散射特性与稳定性；同时引入多通道深度中值抑制异常回波。通过上述方法，实现多光谱、多通道深度信息的自适应加权融合。精确度实验结果表明，在复杂场景下均方误差（MSE）较单波长方法降低了53.5%，标准差降低了51.9%；在对比度实验中，与单波长强度图像和偏振度（DOP）图像相比，所构建的RGB融合图像在对比度（CST）上显著提升，由最高0.2471提高至0.6242。方法为多光谱偏振条纹管激光雷达在复杂环境中的高精度成像提供了有效的解决方案。

Abstract

To address the limited detection capability of traditional streak tube imaging LiDAR for low-reflectivity targets in complex scattering environments

as well as the reduced image contrast when target and background reflectivities are similar

a multispectral polarization-based streak tube imaging LiDAR system is developed. An adaptive reconstruction method for multi-channel data is also proposed.The system employs multi-wavelength emission and polarization imaging to acquire spectral and polarization information simultaneously. During streak image reconstruction

the intensity differences between polarization components at the same wavelength are used to characterize the scattering properties and stability of the echo signal. In addition

the multi-channel depth median is introduced as a reference to suppress abnormal echoes. Based on these strategies

adaptive weighted fusion of multi-wavelength and multi-channel depth information is achieved.Experimental results show that

in complex scenarios

the Mean Squared Error （MSE） is reduced by 53.5% and the standard deviation is reduced by 51.9% compared with the single-wavelength method. In terms of image contrast

the RGB fused image significantly outperforms single-wavelength intensity images and degree of polarization （DOP） images. The contrast separation metric （CST） increases from 0.2471 to 0.6242.The proposed method enables high-precision imaging for multispectral polarization streak tube imaging LiDAR in complex environments.

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references

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