中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Computational Spectral Imaging Based on Compressive Sensing

文献类型:期刊论文

作者Wang Chao; Liu Xuefeng; Yu Wenkai; Yao Xuri; Zheng Fu; Dong Qian; Lan Ruoming; Sun Zhibin; Zhai Guangjie; Zhao Qing
刊名中国物理快报
出版日期2017
卷号34期号:10页码:104203
ISSN号0256-307X
英文摘要Spectral imaging is an important tool for a wide variety of applications. We present a technique for spectral imaging using computational imaging pattern based on compressive sensing (CS). The spectral and spatial information is simultaneously obtained using a fiber spectrometer and the spatial light modulation without mechanical scanning. The method allows high-speed, stable, and sub sampling acquisition of spectral data from specimens. The relationship between sampling rate and image quality is discussed and two CS algorithms are compared.
语种英语
CSCD记录号CSCD:6082753
资助机构Supported by the National Major Scientific Instruments Development Project of China ; the National Natural Science Foundation of China ; the Science and Technology Innovation Foundation of Chinese Academy of Sciences ; the National Defense Science and Technology Innovation Foundation of Chinese Academy of Sciences ; the Program of International S&T Cooperation ; the Advance Research Project
源URL[http://ir.nssc.ac.cn/handle/122/6428]  
专题国家空间科学中心_空间技术部
推荐引用方式
GB/T 7714
Wang Chao,Liu Xuefeng,Yu Wenkai,et al. Computational Spectral Imaging Based on Compressive Sensing[J]. 中国物理快报,2017,34(10):104203.
APA Wang Chao.,Liu Xuefeng.,Yu Wenkai.,Yao Xuri.,Zheng Fu.,...&Zhao Qing.(2017).Computational Spectral Imaging Based on Compressive Sensing.中国物理快报,34(10),104203.
MLA Wang Chao,et al."Computational Spectral Imaging Based on Compressive Sensing".中国物理快报 34.10(2017):104203.

入库方式: OAI收割

来源:国家空间科学中心

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