Image recognition applied in the study of water turbidity analysis-Reference-Cited by-同舟云学术

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Image recognition applied in the study of water turbidity analysis

Published:2024-04-20 Issue: Volume: Page:78-84
ISSN:
Container-title:Proceedings of the 2024 9th International Conference on Multimedia and Image Processing
language:
Short-container-title:

Author:

Fang Hui-Ming¹^ORCID,Chiang Yun-Chih²^ORCID,Lin Ting-Chieh³^ORCID,Wang Hsing-Yu⁴^ORCID

Affiliation:

1. Ocean Engineering and Technology, National Taiwan Ocean University, Taiwan

2. Center for General Education, Tzu Chi University, Taiwan

3. Department of Harbor and River Engineering, National Taiwan Ocean University, Taiwan

4. Department of Shipping Technology, National Kaohsiung University of Science and Technology, Taiwan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3665026.3665038

Reference19 articles.

1. A Review on Applications of Remote Sensing and Geographic Information Systems (GIS) in Water Resources and Flood Risk Management

2. Combining and Comparing an Unmanned Aerial Vehicle and Multiple Remote Sensing Satellites to Calculate Long-Term River Discharge in an Ungauged Water Source Region on the Tibetan Plateau

3. Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives

4. Lake water quality classification with airborne hyperspectral spectrometer and simulated MERIS data

5. Wesley J. Moses Anatoly A. Gitelson Richard L. Perk Daniela Gurlin Donald C. Rundquist Bryan C. Leavitt Tadd M. Barrow and Paul Brakhage. 2012. Estimation of chlorophyll-a concentration in turbid productive waters using airborne hyperspectral data. Water research. 46 4 993-1004.

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