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On the Uncertainty of the Image Velocimetry Method Parameters
- Source :
- Hydrology, Vol 7, Iss 65, p 65 (2020), Hydrology, Volume 7, Issue 3
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- Image velocimetry is a popular remote sensing method mainly because of the very modest cost of the necessary equipment. However, image velocimetry methods employ parameters that require high expertise to select appropriate values in order to obtain accurate surface flow velocity estimations. This introduces considerations regarding the subjectivity introduced in the definition of the parameter values and its impact on the estimated surface velocity. Alternatively, a statistical approach can be employed instead of directly selecting a value for each image velocimetry parameter. First, probability distribution should be defined for each model parameter, and then Monte Carlo simulations should be employed. In this paper, we demonstrate how this statistical approach can be used to simultaneously produce the confidence intervals of the estimated surface velocity, reduce the uncertainty of some parameters (more specifically, the size of the interrogation area), and reduce the subjectivity. Since image velocimetry algorithms are CPU-intensive, an alternative random number generator that allows obtaining the confidence intervals with a limited number of iterations is suggested. The case study indicated that if the statistical approach is applied diligently, one can achieve the previously mentioned threefold objective.
- Subjects :
- Surface (mathematics)
Computer science
Monte Carlo method
Value (computer science)
LSPIV
Velocimetry
Oceanography
Confidence interval
Image (mathematics)
remote sensing
Flow velocity
Probability distribution
lcsh:Q
image velocimetry
uncertainty
lcsh:Science
stream discharge
Monte Carlo
Waste Management and Disposal
Algorithm
Earth-Surface Processes
Water Science and Technology
Subjects
Details
- ISSN :
- 23065338
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- Hydrology
- Accession number :
- edsair.doi.dedup.....0e1c765f2020056772a89fee0e5eb1d2
- Full Text :
- https://doi.org/10.3390/hydrology7030065