PTV-Stream: A simplified particle tracking velocimetry framework for stream surface flow monitoring
| Autor: | Flavia Tauro, R. Piscopia, Salvatore Grimaldi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Surface (mathematics)
Flow monitoring 010504 meteorology & atmospheric sciences Computer science business.industry Field of view 04 agricultural and veterinary sciences Tracking (particle physics) 01 natural sciences Identification (information) Flow velocity Particle tracking velocimetry Streamflow 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Computer vision Artificial intelligence business 0105 earth and related environmental sciences Earth-Surface Processes |
| Zdroj: | CATENA. 172:378-386 |
| ISSN: | 0341-8162 |
| DOI: | 10.1016/j.catena.2018.09.009 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect