TY - GEN
T1 - Effects of views and spectral lines numbers on hyperspectral temperature distribution tomography
AU - Qu, Qianwei
AU - Xu, Lijun
AU - Cao, Zhang
AU - Liu, Chang
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/22
Y1 - 2016/7/22
N2 - Effects of increasing the numbers of views and spectral lines on hyperspectral temperature distribution tomography is compared in this paper via numerical experiments. The theory of multi-view hyperspectral temperature tomography is introduced mathematically, and some basic principles are explained. Given a bimodal Gaussian distribution, simulation results are obtained by changing the numbers of views and spectral lines. The results reveal that increasing views, instead of spectral lines, contributes more to the quality of tomographic images.
AB - Effects of increasing the numbers of views and spectral lines on hyperspectral temperature distribution tomography is compared in this paper via numerical experiments. The theory of multi-view hyperspectral temperature tomography is introduced mathematically, and some basic principles are explained. Given a bimodal Gaussian distribution, simulation results are obtained by changing the numbers of views and spectral lines. The results reveal that increasing views, instead of spectral lines, contributes more to the quality of tomographic images.
KW - hyperspectral tomography
KW - temperature distribution
KW - views and spectral lines
UR - https://www.scopus.com/pages/publications/84980324877
U2 - 10.1109/I2MTC.2016.7520448
DO - 10.1109/I2MTC.2016.7520448
M3 - 会议稿件
AN - SCOPUS:84980324877
T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference
BT - I2MTC 2016 - 2016 IEEE International Instrumentation and Measurement Technology Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016
Y2 - 23 May 2016 through 26 May 2016
ER -