PTV-Stream: A simplified particle tracking velocimetry framework for stream surface flow monitoring

被引:41
作者
Tauro, Flavia [1 ]
Piscopia, Rodolfo [2 ]
Grimaldi, Salvatore [2 ,3 ]
机构
[1] Univ Tuscia, Ctr Innovaz Tecnol & Sviluppo Terr, Viterbo, Italy
[2] Univ Tuscia, Dept Innovat Biol Agrofood & Forest Syst, Viterbo, Italy
[3] NYU, Tandon Sch Engn, Dept Mech & Aerosp Engn, Brooklyn, NY 10003 USA
关键词
PTV-Stream; PTV; Surface flow velocity; LSPIV; Image analysis; IMAGE VELOCIMETRY; RIVER; VELOCITIES; MODEL;
D O I
10.1016/j.catena.2018.09.009
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Particle tracking velocimetry (PTV) is a promising image-based approach for remote streamflow measurements in natural environments. However, most PTV approaches require highly-defined round-shaped tracers, which are often difficult to observe outdoors. PTV-Stream offers a versatile alternative to cross-correlation-based PTV by affording the identification and tracking of features of any shape transiting in the field of view. This nearest neighbor algorithm is inherently thought for estimating surface flow velocity of streams in outdoor conditions. The procedure allows for reconstructing and filtering the trajectories of features that are more likely to pertain to actual objects transiting in the field of view rather than to water reflections. The procedure is computationally efficient and is demonstrated to yield accurate measurements even in case of downsampled image sequences.
引用
收藏
页码:378 / 386
页数:9
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