A Review on the Video-Based River Discharge Measurement Technique

被引:2
|
作者
Chen, Meng [1 ]
Chen, Hua [1 ]
Wu, Zeheng [1 ]
Huang, Yu [1 ]
Zhou, Nie [1 ]
Xu, Chong-Yu [2 ]
机构
[1] Wuhan Univ, State Key Lab Water Resources Engn & Management, Wuhan 430072, Peoples R China
[2] Univ Oslo, Dept Geosci, N-0316 Oslo, Norway
关键词
video; river discharge measurement; flow monitoring; image recognition; PARTICLE IMAGE VELOCIMETRY; LARGE-SCALE; SURFACE VELOCITY; TRACKING VELOCIMETRY; STREAM DISCHARGE; EFFICIENT METHOD; OPTICAL-FLOW; LSPIV; ENHANCEMENT; ALGORITHM;
D O I
10.3390/s24144655
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The hydrological monitoring of flow data is important for flood prevention and modern river management. However, traditional contact methods are increasingly struggling to meet the requirements of simplicity, accuracy, and continuity. The video-based river discharge measurement is a technique to monitor flow velocity without contacting the water body by using the image-recognition algorithms, which has been verified to have the advantages of full coverage and full automation compared with the traditional contact technique. In order to provide a timely summary of the available results and to inform further research and applications, this paper reviews and synthesizes the literature on the general implementation routes of the video-based river discharge measurement technique and the principles and advances of today's popular image-recognition algorithms for velocity detection. Then, it discusses the challenges of image-recognition algorithms in terms of image acquisition conditions, parameter uncertainties, and complex meteorological and water environments. It is concluded that the performance of this technique can be improved by enhancing the robustness and accuracy of video-based discharge measurement algorithms, minimizing weather effects, and improving computational efficiency. Finally, future development directions for further perfecting this technique are outlined.
引用
收藏
页数:22
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