| 单光子成像技术研究进展综述 |
| Research progress review on single⁃photon imaging technology |
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| 中文摘要: |
| 介绍了单光子成像技术的基本原理，分析了单光子成像技术高灵敏度、高时间分辨力与高光子利用率的优势。阐述了单点扫描单光子成像、多像素单光子成像的技术特点，论述了其在远距离成像、水下成像、复杂环境成像等领域的应用情况。介绍了传统单光子成像算法、基于深度学习的单光子成像算法的原理，对比分析了不同算法在稀疏回波、强噪声、多峰信号条件下的应用效果。对单光子成像技术的未来发展方向进行展望，指出可通过应用创新性硬件系统、优化成像算法与跨学科技术融合等手段，进一步推动单光子成像技术向高准确性、高效率、智能化方向发展。 |
| 英文摘要: |
| The fundamental principles of single?photon imaging technology are introduced, along with an analysis of its advantages of high sensitivity, high temporal resolution and high photon utilization efficiency. The technical characteri?stics of single?point scanning and multi?pixel single?photon imaging are elaborated, with discussions on their applications in scenarios such as long?range imaging, underwater imaging, and imaging in complex environments. Principles of traditional single?photon imaging algorithms and deep learning?based algorithms are presented, followed by a comparative analysis of their application effects under conditions of sparse echoes, strong noise and multi?peak signals. The outlook for the future development of single?photon imaging technology is proposed, highlighting that innovative hardware systems, optimized imaging algorithms and interdisciplinary technology integration will further advance the field toward higher accuracy, efficiency and intelligence. |
| 作者 | 单位 | | 王琴1,2, 赵铎涵1,2, 曹璐1,2, 许韶峰1,2, 刘家宁1,2, 李剑1,2 | 1.南京邮电大学 量子信息技术研究所，江苏 南京 210003
2.南京邮电大学 宽带无线通信与传感网教育部重点实验室，江苏 南京 210003 |
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| 中文关键词: 单光子成像 计算成像 深度学习 三维重建 |
| 英文关键词:single⁃photon imaging computational imaging deep learning three⁃dimensional reconstruction |
| 基金项目: |
| DOI：10.11823/j.issn.1674-5795.2025.03.01 |
| 引用本文：王琴, 赵铎涵, 曹璐, 许韶峰, 刘家宁, 李剑.单光子成像技术研究进展综述[J].计测技术,2025,45(3):7~27. |
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