光子计数成像算法的研究进展  被引量:4

Research Progress on Photon Counting Imaging Algorithms

在线阅读下载全文

作  者:陈松懋 郝伟[1,2,3,4] 苏秀琴[1,2,3,4] 张振扬 徐伟豪[1,2,5] Chen Songmao;Hao Wei;Su Xiuqin;Zhang Zhenyang;Xu Weihao(Key Laboratory of Space Precision Measurement Technology,Chinese Academy of Sciences,Xi'an,Shaanxi 710119 China;Xi’an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an,Shaanxi 710119 China;Joint Laboratory for Ocean Observation and Detection(Xi’an Institute of Optics and Precision Mechanics),Qingdao,Shandong 266200,China;Pilot National Laboratory for Marine Science and Technology(Qingdao),Qingdao,Shandong 266200,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区:[1]中国科学院空间精密测量技术重点实验室,陕西西安710119 [2]中国科学院西安光学精密机械研究所,陕西西安710119 [3]海洋观测与探测联合实验室(西安光机所部分),山东青岛266200 [4]青岛海洋科学与技术试点国家实验室,山东青岛266200 [5]中国科学院大学,北京100049

出  处:《激光与光电子学进展》2021年第18期227-242,共16页Laser & Optoelectronics Progress

基  金:中国博士后科学基金面上项目(2020M683600);中科院战略高技术创新基金(GQRC-19-19)。

摘  要:光子计数成像技术具有灵敏度高、时间分辨率高、光子利用率高的特点,是近年来激光雷达技术领域的研究前沿。高效的图像重建算法能在硬件系统的基础上以较低的代价提升重建图像的质量或突破单纯依靠硬件技术的瓶颈,成为光子计数成像技术领域的热点问题。针对已有的光子计数成像算法,系统梳理了光子计数成像技术的原理与特点,对若干典型问题进行了深入的调研与讨论,并对该领域未来的发展趋势进行了思考与展望。Recently,photon counting imaging technology has become a research frontier in the field of LiDAR technology owing to its high sensitivity,high time resolution,and high photon efficiency.Efficient image reconstruction algorithms can improve the quality of reconstructed images at lower costs based on hardware systems or break through the bottleneck of solely relying on hardware technology,which has become a trending issue in the field of photon counting imaging technology.Aiming at the existing photon counting imaging algorithm,this study systematically sorts out the principles and characteristics of photon counting imaging technology,conducts in-depth investigations and discussions on several common issues,and considers and looks forward to the future development trend of this field.

关 键 词:成像系统 单光子成像 激光雷达 图像重建 计算成像 

分 类 号:TN29[电子电信—物理电子学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象