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| Research and application of multidimensional information observation approach of snowfall based on machine vision technology |
| Guo Zongkai1, Wang Yi1, Wang Mingqi2, Pan Hui2, Miao Chuanhai1 |
1. Liaoning Meteorological Equipment Support Center, Shenyang 110166;
2. Liaoning Provincial Meteorological Bureru Financial Accounting Centre, Shenyang 110166 |
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Abstract In response to the problems of low data collection quality and large accuracy deviation in snow observation in Liaoning Province,machine vision technology was designed to achieve accurate extraction of snowfall status data,and artificial intelligence technology was used to carry out realtime monitoring of snow thickness,further meeting the demand for snow observation product types in advance reporting services.
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Received: 10 September 2024
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| Cite this article: |
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Guo Zongkai,Wang Yi,Wang Mingqi等. Research and application of multidimensional information observation approach of snowfall based on machine vision technology[J]. Meteorological Hydrological and Marine Instrument, 2025, 42(5): 123-125.
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| URL: |
| http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2025/V42/I5/123 |
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Zhang Lei, Wang Lu, Meng Lei, Yu Yongtao, Ni Wenliang, Jiang Tao, Zhao Chenxi, Xie Nana, Zhang Longbin. Analysis of multisource snow depth observation data during a snowfall process in Beijing area[J]. Meteorological Hydrological and Marine Instrument, 2025, 42(4): 14-17. |
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2025, Vol. 42 
