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A methodology based on Particle image velocimetry for river ice velocity measurement

机译:基于粒子图像测速的河冰速度测量方法

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The in-field use of Particle image velocimetry (PIV), or Large-scale PIV, may be complicated by implementation issues related to the movement of the camera, the variations in luminosity and the distortion of the images due to the inclination of the shore-based camera. The correction for the distortion of the images, or orthorectification, is a critical issue that usually requires the georeferencing of control points located on the river surface. In drifting ice conditions, control points cannot be identified directly on the river surface, and water levels are often unstable. A robust, flexible and relatively inexpensive methodology based on Large-scale PIV for the measurement of river ice velocity is presented. Two orthorectification techniques are proposed, that do not require georeferencing of control points directly on the river surface. The proposed methodology also includes image enhancement, correction for camera movements and a segmentation technique that allows dynamical quantitative estimations of the ice cover extent The methodology is tested on the St. Lawrence and Montmorency rivers, two rivers of very different sizes and ice conditions. The correction for camera movements proves to be quite reliable and robust to illumination variations and to the presence of shade patterns. The two orthorectification techniques allow to estimate pixel physical dimensions with 6% and <1% precisions, respectively. Velocities obtained for the St. Lawrence case are compared to velocities simulated by a numerical model. There is strong agreement in velocity values in moderate ice coverage conditions.
机译:粒子图像测速(PIV)或大规模PIV的现场使用可能会因与相机移动,光度变化和岸边倾斜而引起的图像失真有关的实施问题而变得复杂相机。图像失真的校正或正射校正是一个关键问题,通常需要对河面上的控制点进行地理配准。在流冰条件下,无法直接在河面识别出控制点,并且水位经常不稳定。提出了一种基于大规模PIV的健壮,灵活且相对便宜的方法来测量河冰速度。提出了两种矫正技术,它们不需要直接在河面上对控制点进行地理配准。拟议的方法还包括图像增强,相机运动校正和分割技术,该技术可以动态定量估计冰盖程度。该方法在圣劳伦斯河和蒙莫朗西河,两条大小和冰况差异很大的河流上进行了测试。相机运动的校正被证明是非常可靠的,并且对于照明变化和阴影图案的存在具有鲁棒性。两种正交校正技术可以分别以6%和<1%的精度估算像素的物理尺寸。将针对圣劳伦斯案例获得的速度与通过数值模型模拟的速度进行比较。在中等冰覆盖条件下,速度值有很强的一致性。

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