TY - JOUR
T1 - High-resolution spectral video acquisition
AU - Chen, Lin sen
AU - Yue, Tao
AU - Cao, Xun
AU - Ma, Zhan
AU - Brady, David J.
N1 - Funding Information:
* Project supported by the National Natural Science Foundation of China (Nos. 61627804, 61371166, 61422107, 61571215, and 61671236) and the Natural Science Foundation of Jiangsu Province, China (Nos. BK20140610 and BK20160634) ORCID: Lin-sen CHEN, http://orcid.org/0000-0002-1259-135X ©c Zhejiang University and Springer-Verlag GmbH Germany 2017
Publisher Copyright:
© 2017, Zhejiang University and Springer-Verlag GmbH Germany.
PY - 2017/9/1
Y1 - 2017/9/1
N2 - Compared with conventional cameras, spectral imagers provide many more features in the spectral domain. They have been used in various fields such as material identification, remote sensing, precision agriculture, and surveillance. Traditional imaging spectrometers use generally scanning systems. They cannot meet the demands of dynamic scenarios. This limits the practical applications for spectral imaging. Recently, with the rapid development in computational photography theory and semiconductor techniques, spectral video acquisition has become feasible. This paper aims to offer a review of the state-of-the-art spectral imaging technologies, especially those capable of capturing spectral videos. Finally, we evaluate the performances of the existing spectral acquisition systems and discuss the trends for future work.
AB - Compared with conventional cameras, spectral imagers provide many more features in the spectral domain. They have been used in various fields such as material identification, remote sensing, precision agriculture, and surveillance. Traditional imaging spectrometers use generally scanning systems. They cannot meet the demands of dynamic scenarios. This limits the practical applications for spectral imaging. Recently, with the rapid development in computational photography theory and semiconductor techniques, spectral video acquisition has become feasible. This paper aims to offer a review of the state-of-the-art spectral imaging technologies, especially those capable of capturing spectral videos. Finally, we evaluate the performances of the existing spectral acquisition systems and discuss the trends for future work.
KW - Multispectral/hyperspectral video acquisition
KW - Snapshot
KW - Under-sampling and reconstruction
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U2 - 10.1631/FITEE.1700098
DO - 10.1631/FITEE.1700098
M3 - Review article
AN - SCOPUS:85032569236
SN - 2095-9184
VL - 18
SP - 1250
EP - 1260
JO - Frontiers of Information Technology and Electronic Engineering
JF - Frontiers of Information Technology and Electronic Engineering
IS - 9
ER -