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基于散斑检测的微型计算光谱仪研究进展
引用本文:郑麒麟,文龙,陈沁. 基于散斑检测的微型计算光谱仪研究进展[J]. 光电工程, 2021, 48(3): 1-15
作者姓名:郑麒麟  文龙  陈沁
作者单位:暨南大学纳米光子学研究院,广东 广州 510632
基金项目:国家重点研发计划项目(2019YFB2203402);国家自然科学基金资助项目(11774383,11774099,11874029);广东省国际合作科技项目(2018A050506039);广东省杰出青年基金资助项目(2020B1515020037);广东省珠江人才计划项目(2019QN01X120)。
摘    要:光谱分析技术具有快速、准确和绿色检测的特点,在科学研究、信息、生物医疗、食药检测、农业、环境和安防等领域有广泛而且重要的应用.然而现有光谱技术与检测设备通常较为庞大复杂,难以适合现场快检、轻载荷平台等便携式应用场景.近年来,微型光谱检测技术和设备受到广泛关注并得到迅速发展,具有尺寸、重量、功耗等方面的显著优势,尤其是基...

关 键 词:光谱  散斑  微型光谱仪  压缩感知

Research progress of computational microspectrometer based on speckle inspection
Zheng Qilin,Wen Long,Chen Qin. Research progress of computational microspectrometer based on speckle inspection[J]. Opto-Electronic Engineering, 2021, 48(3): 1-15
Authors:Zheng Qilin  Wen Long  Chen Qin
Affiliation:(Institute of Nanophotonics,Jinan University,Guangzhou,Guangdong 510632,China)
Abstract:Fast,accurate and nondestructive spectral analysis technique is important and widely used in the fields of scientific research,information,biomedical,pharmaceutical detection,agriculture,environment,and security.However,the existing spectroscopic analysis equipments are usually bulky and complex,which are difficult to adapt to portable application scenarios such as on-site rapid detection,light-load platform,etc.In recent years,miniature spectroscopic detection technology and equipment have received extensive attention,and have been rapidly developed,with significant advantages in size,weight,and power consumption.In particular,the computational spectral analysis technology based on the speckle detection can obtain high-precision spectral information by recording and analyzing the speckle pattern formed by the scattering element on the measured light.This paper will first introduce the related technical principles and technological developments,then analyze the existing techniques including the advantages and disadvantages,and finally discuss and summarize the future development direction and application prospects.
Keywords:spectrum  speckle  microspectrometer  compressive sensing
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