中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spectral encoded computational ghost imaging

文献类型:期刊论文

作者Huang, Jian1,2,3; Shi, Dongfeng1,2,3; Meng, Wenwen1,2; Zha, Linbin1,2; Yuan, Kee1,2,3; Hu, Shunxing1,2,3; Wang, Yingjian1,2,3
刊名OPTICS COMMUNICATIONS
出版日期2020-11-01
卷号474
关键词Spectral imaging Ghost imaging Compressive sensing Evolutionary compressive sensing
ISSN号0030-4018
DOI10.1016/j.optcom.2020.126105
通讯作者Huang, Jian(jhuang@aiofm.ac.cn)
英文摘要Multispectral imaging can acquire images of a scene in multiple spectral bands and has been widely applied in many fields, such as satellite remote sensing and geological exploration. Traditional multispectral imaging employs dispersive optical devices or narrowband filters to separate different wavelengths of light and then uses an array detector or many single-pixel detectors to retrieve them separately. These techniques suffer from large data volumes and low efficiency. In this paper, a spectral encoded strategy is proposed to realize multispectral imaging with computational ghost imaging technology. The projected illumination patterns are produced by means of deterministic orthogonal Hadamard basis patterns fused with random spectral encoded matrices, which represent different spectral information. The evolutionary compressive sensing technique is employed to restore the fused multispectral image of the color object of interest, and then a compressive sensing algorithm is applied to restore the spectral channel images. The validity of the technique is verified by a numerical simulation and an experiment. The proposed method allows a multispectral image simultaneously by only one single-pixel detector, which simplifies the structure of the spectral imaging setup and reduces the amount of data acquired and reconstruction time, and thus improving multispectral imaging efficiency.
WOS关键词MOVING-OBJECTS ; SINGLE ; TRACKING
资助项目National Natural Science Foundation of China[11404344] ; National Natural Science Foundation of China[41505019] ; National Natural Science Foundation of China[41475001] ; State Key Laboratory of Pulsed Power Laser Technology[SKL2018ZR10] ; Youth Innovation Promotion Association of CAS[2020438] ; Youth Fund of Advanced Laser Technology Laboratory of Anhui Province[20192201]
WOS研究方向Optics
语种英语
WOS记录号WOS:000579424200054
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; State Key Laboratory of Pulsed Power Laser Technology ; Youth Innovation Promotion Association of CAS ; Youth Fund of Advanced Laser Technology Laboratory of Anhui Province
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/104663]  
专题中国科学院合肥物质科学研究院
通讯作者Huang, Jian
作者单位1.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Opt, Hefei 230031, Peoples R China
2.Univ Sci & Technol China, Hefei 230026, Peoples R China
3.Adv Laser Technol Lab Anhui Prov, Hefei 230031, Peoples R China
推荐引用方式
GB/T 7714
Huang, Jian,Shi, Dongfeng,Meng, Wenwen,et al. Spectral encoded computational ghost imaging[J]. OPTICS COMMUNICATIONS,2020,474.
APA Huang, Jian.,Shi, Dongfeng.,Meng, Wenwen.,Zha, Linbin.,Yuan, Kee.,...&Wang, Yingjian.(2020).Spectral encoded computational ghost imaging.OPTICS COMMUNICATIONS,474.
MLA Huang, Jian,et al."Spectral encoded computational ghost imaging".OPTICS COMMUNICATIONS 474(2020).

入库方式: OAI收割

来源:合肥物质科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。