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Water Level Identification Method of Rivers and Lakes Based on Mask RCNN
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Zhi XU1, Kai GAO2, Xi-chao GAO2, Li-li LIANG1, Pan YI3
Water Resources and Power | 2023, 41(7) : 22 - 26
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Water Resources and Power | 2023, 41(7): 22-26
• HYDROLOGY，WATER RESOURCES AND ENVIRONMENT •
Water Level Identification Method of Rivers and Lakes Based on Mask RCNN
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Zhi XU1, Kai GAO2, Xi-chao GAO2, Li-li LIANG1, Pan YI3
Affiliations
  • 1.Science and Technology Research Inst., China Three Gorges Corporation, Beijing 100038, China
  • 2.China Institute of Water Resources and Hydropower Research, Beijing 100038, China
  • 3.Beijing Hydrology Center, Beijing 100089, China
Published: 2023-07-25 doi: 10.20040/j.cnki.1000-7709.2023.20222376
Outline
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With the development of deep learning and image recognition technology, monitoring the water level of urban rivers and lakes through video has become a hot research topic in recent years. In order to realize the comprehensiveness of urban river and lake water level monitoring, a method of river and lake water level identification based on Mask RCNN was proposed. The water level was obtained by the water level characters and their position relations in the video images, and it was verified by the monitoring video of the real water level station in Dongying City, Shandong Province. The results show that the probability that the comparison error between the water level identification result and the measured data was less than 2 cm was 68.5%, the probability of error less than 3 cm is 76.9%, the probability of error less than 5 cm is 93.5%, the average error is 2.1 cm, and the root mean square error (RMSE) is 3.0 cm, which meets the recognition accuracy requirements of video water gauge level in Technical Outline of Digital Twin Watershed Construction (Trial). Therefore, the model has a good recognition effect and a certain application prospect.

water level identification  /  image recognition  /  deep learning  /  Mask RCNN
Zhi XU, Kai GAO, Xi-chao GAO, Li-li LIANG, Pan YI. Water Level Identification Method of Rivers and Lakes Based on Mask RCNN[J]. Water Resources and Power, 2023 , 41 (7) : 22 -26 . DOI: 10.20040/j.cnki.1000-7709.2023.20222376
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20222376
  • Receive Date：2022-11-11
  • Online Date：2026-01-28
  • Published：2023-07-25
Article Data
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History
  • Received：2022-11-11
  • Revised：2023-02-07
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Affiliations
    1.Science and Technology Research Inst., China Three Gorges Corporation, Beijing 100038, China
    2.China Institute of Water Resources and Hydropower Research, Beijing 100038, China
    3.Beijing Hydrology Center, Beijing 100089, China
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https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20222376
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光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
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