Research on Quantitative Remote Sensing Monitoring Algorithm of Air Pollution Based on Artificial Intelligence
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-04
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
When the current algorithm is used for quantitative remote sensing monitoring of air pollution, it takes a long time to monitor the air pollution data, and the obtained range coefficient is small.
The error between the monitoring result and the actual result is large, and the monitoring efficiency is low, the monitoring range is small, and the monitoring accuracy rate is low.
An artificial intelligence-based quantitative monitoring algorithm for air pollution is proposed.
The basic theory of atmospheric radiation transmission is analyzed by atmospheric radiation transfer equation, Beer–Bouguer–Lambert law, parallel plane atmospheric radiation theory, atmospheric radiation transmission model, and electromagnetic radiation transmission model.
Quantitative remote sensing monitoring of air pollution provides relevant information.
The simultaneous equations are constructed on the basis of multiband satellite remote sensing data through pixel information, and the aerosol turbidity of the atmosphere is calculated by the equation decomposition of the pixel information.
The quantitative remote sensing monitoring of air pollution is realized according to the calculated aerosol turbidity.
The experimental results show that the proposed algorithm has high monitoring efficiency, wide monitoring range, and high monitoring accuracy.
American Psychological Association (APA)
Liu, Yun& Jing, Yuqin& Lu, Yinan. 2020. Research on Quantitative Remote Sensing Monitoring Algorithm of Air Pollution Based on Artificial Intelligence. Journal of Chemistry،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1182175
Modern Language Association (MLA)
Liu, Yun…[et al.]. Research on Quantitative Remote Sensing Monitoring Algorithm of Air Pollution Based on Artificial Intelligence. Journal of Chemistry No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1182175
American Medical Association (AMA)
Liu, Yun& Jing, Yuqin& Lu, Yinan. Research on Quantitative Remote Sensing Monitoring Algorithm of Air Pollution Based on Artificial Intelligence. Journal of Chemistry. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1182175
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182175