Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)

Research on Remote Sensing Hazard Clouds Basing on Continuous Point Source

Authors
Shunhua Liu, Xuezheng Zhu, Zhirong Luo, Kunlin Nie, Xiaobin Liu
Corresponding Author
Shunhua Liu
Available Online September 2017.
DOI
10.2991/icmmcce-17.2017.218How to use a DOI?
Keywords
continuous point source; hazard clouds; remote sensing; modeling
Abstract

Employing infrared telemetry principle and diffusion theory, this paper has established remote sensing model of continuous point source hazard clouds according to its density, harm in-depth and corner relationship. After a series of experiments, this model is convincible in effectively realize its immediate positioning and hazard evaluation matters with little mistakes.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
978-94-6252-381-4
ISSN
2352-5401
DOI
10.2991/icmmcce-17.2017.218How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shunhua Liu
AU  - Xuezheng Zhu
AU  - Zhirong Luo
AU  - Kunlin Nie
AU  - Xiaobin Liu
PY  - 2017/09
DA  - 2017/09
TI  - Research on Remote Sensing Hazard Clouds Basing on Continuous Point Source
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 1231
EP  - 1236
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.218
DO  - 10.2991/icmmcce-17.2017.218
ID  - Liu2017/09
ER  -