视频流速测量:基于深度学习的两阶段流速预测方法

IF 2.6 4区 环境科学与生态学 Q2 WATER RESOURCES
Xiaolong Wang, Qiang Ma, Genyi Wang, Guocheng An
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引用次数: 0

摘要

由于环境变化会导致输出结果的不确定性,使用深度学习方法预测的表面流速与瞬时流速之间会存在显著差异。本文提出了一种两阶段深度学习流速测量算法。在外部校准过程中,循环遍历所记录水流视频的上下两帧,利用深度学习流速测量算法获取预测流速值。同时,利用稀疏光流跟踪方法获取像素位移,然后进行后处理,得出速度校准值和像素校准值。在检测过程中,利用速度校准值和像素校准值对深度学习预测的流速进行内部校准,以适应水流的变化。与预先改进的算法相比,该方法在五种不同流速视频中的均方根误差最小,并且在流速快速变化时仍能保持较高的精度。所获得的结果非常有前景,有助于提高视频流速评估算法的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Video velocity measurement: A two-stage flow velocity prediction method based on deep learning

Due to the uncertainty in output caused by environmental changes, significant discrepancies are expected between the surface flow velocities predicted using deep learning methods and the instantaneous flow velocities. In this paper, a two-stage deep learning flow velocity measurement algorithm is proposed. During the external calibration process, the upper and lower frames of the recorded water flow video are cyclically traversed to acquire predicted flow velocity values using the deep learning velocity measurement algorithm. Meanwhile, the pixel displacement is obtained using the sparse optical flow tracking method and then post-processed to derive the velocity calibration value and pixel calibration value. During the detection process, the deep learning-predicted flow velocity is internally calibrated using the velocity calibration value and the pixel calibration value to adapt to changes in water flows. Compared with the pre-improved algorithm, the method achieves the minimum root mean square error in five different flow velocity videos and maintains high accuracy when the flow velocity changes rapidly. The obtained results are very promising and can help improve the reliability of video flow rate assessment algorithms.

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来源期刊
Hydrology Research
Hydrology Research WATER RESOURCES-
CiteScore
5.00
自引率
7.40%
发文量
0
审稿时长
3.8 months
期刊介绍: Hydrology Research provides international coverage on all aspects of hydrology in its widest sense, and welcomes the submission of papers from across the subject. While emphasis is placed on studies of the hydrological cycle, the Journal also covers the physics and chemistry of water. Hydrology Research is intended to be a link between basic hydrological research and the practical application of scientific results within the broad field of water management.
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