Effects of views and spectral lines numbers on hyperspectral temperature distribution tomography

Qianwei Qu; Lijun Xu; Zhang Cao; Chang Liu

doi:10.1109/I2MTC.2016.7520448

Effects of views and spectral lines numbers on hyperspectral temperature distribution tomography

Qianwei Qu
, Lijun Xu
, Zhang Cao
, Chang Liu

School of Instrumentation and Optoelectronic Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	I2MTC 2016 - 2016 IEEE International Instrumentation and Measurement Technology Conference
Subtitle of host publication	Measuring the Pulse of Industries, Nature and Humans, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467392204
DOIs	https://doi.org/10.1109/I2MTC.2016.7520448
State	Published - 22 Jul 2016
Event	2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016 - Taipei, Taiwan, Province of China Duration: 23 May 2016 → 26 May 2016

Publication series

Name	Conference Record - IEEE Instrumentation and Measurement Technology Conference
Volume	2016-July
ISSN (Print)	1091-5281

Conference

Conference	2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016
Country/Territory	Taiwan, Province of China
City	Taipei
Period	23/05/16 → 26/05/16

Keywords

hyperspectral tomography
temperature distribution
views and spectral lines

Access to Document

10.1109/I2MTC.2016.7520448

Cite this

Qu, Q., Xu, L., Cao, Z., & Liu, C. (2016). Effects of views and spectral lines numbers on hyperspectral temperature distribution tomography. In I2MTC 2016 - 2016 IEEE International Instrumentation and Measurement Technology Conference: Measuring the Pulse of Industries, Nature and Humans, Proceedings Article 7520448 (Conference Record - IEEE Instrumentation and Measurement Technology Conference; Vol. 2016-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/I2MTC.2016.7520448

Qu, Qianwei ; Xu, Lijun ; Cao, Zhang et al. / Effects of views and spectral lines numbers on hyperspectral temperature distribution tomography. I2MTC 2016 - 2016 IEEE International Instrumentation and Measurement Technology Conference: Measuring the Pulse of Industries, Nature and Humans, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. (Conference Record - IEEE Instrumentation and Measurement Technology Conference).

@inproceedings{77cadc60cb28485c8e9e166bfb82a0e9,

title = "Effects of views and spectral lines numbers on hyperspectral temperature distribution tomography",

abstract = "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.",

keywords = "hyperspectral tomography, temperature distribution, views and spectral lines",

author = "Qianwei Qu and Lijun Xu and Zhang Cao and Chang Liu",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016 ; Conference date: 23-05-2016 Through 26-05-2016",

year = "2016",

month = jul,

day = "22",

doi = "10.1109/I2MTC.2016.7520448",

language = "英语",

series = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "I2MTC 2016 - 2016 IEEE International Instrumentation and Measurement Technology Conference",

address = "美国",

}

Qu, Q, Xu, L , Cao, Z & Liu, C 2016, Effects of views and spectral lines numbers on hyperspectral temperature distribution tomography. in I2MTC 2016 - 2016 IEEE International Instrumentation and Measurement Technology Conference: Measuring the Pulse of Industries, Nature and Humans, Proceedings., 7520448, Conference Record - IEEE Instrumentation and Measurement Technology Conference, vol. 2016-July, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016, Taipei, Taiwan, Province of China, 23/05/16. https://doi.org/10.1109/I2MTC.2016.7520448

Effects of views and spectral lines numbers on hyperspectral temperature distribution tomography. / Qu, Qianwei; Xu, Lijun ; Cao, Zhang et al.
I2MTC 2016 - 2016 IEEE International Instrumentation and Measurement Technology Conference: Measuring the Pulse of Industries, Nature and Humans, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7520448 (Conference Record - IEEE Instrumentation and Measurement Technology Conference; Vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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

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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 -

Qu Q, Xu L , Cao Z, Liu C. Effects of views and spectral lines numbers on hyperspectral temperature distribution tomography. In I2MTC 2016 - 2016 IEEE International Instrumentation and Measurement Technology Conference: Measuring the Pulse of Industries, Nature and Humans, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7520448. (Conference Record - IEEE Instrumentation and Measurement Technology Conference). doi: 10.1109/I2MTC.2016.7520448

Effects of views and spectral lines numbers on hyperspectral temperature distribution tomography

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