Please use this identifier to cite or link to this item:
http://hdl.handle.net/2067/43190
Title: | PTV-Stream: A simplified particle tracking velocimetry framework for stream surface flow monitoring | Authors: | Tauro, Flavia Piscopia, Rodolfo Grimaldi, Salvatore |
Journal: | CATENA | Issue Date: | 2019 | Abstract: | © 2018 The Authors 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. |
URI: | http://hdl.handle.net/2067/43190 | ISSN: | 0341-8162 | DOI: | 10.1016/j.catena.2018.09.009 | Rights: | CC0 1.0 Universal |
Appears in Collections: | A1. Articolo in rivista |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
catena.pdf | 604.96 kB | Adobe PDF | View/Open |
SCOPUSTM
Citations
5
43
Last Week
0
0
Last month
2
2
checked on Nov 11, 2024
Page view(s)
151
Last Week
1
1
Last month
0
0
checked on Nov 9, 2024
Download(s)
23
checked on Nov 9, 2024
Google ScholarTM
Check
Altmetric
This item is licensed under a Creative Commons License