E3S Web Conf.
Volume 40, 2018River Flow 2018 - Ninth International Conference on Fluvial Hydraulics
|Number of page(s)||6|
|Published online||05 September 2018|
- D. Bourgault, “Shore-based photogrammetry of river ice,” Can. J. Civ. Eng., vol. 35, pp. 80-86, 2008. [CrossRef] [Google Scholar]
- N. Chaouch, M. Temimi, P. Romanov, R. Cabrera, G. Mckillop, and R. Khanbilvardi, “An automated algorithm for river ice monitoring over the Susquehanna River using the MODIS data,” Hydrol. Process., vol. 28, no. 1, pp. 62-73, 2014. [CrossRef] [Google Scholar]
- S. Härer, M. Bernhardt, J. G. Corripio, and K. Schulz, “PRACTISE-Photo Rectification And ClassificaTIon SoftwarE (V.1.0),” Geosci. Model Dev, vol. 6, pp. 837-848, 2013. [CrossRef] [Google Scholar]
- S. Ansari, C. D. Rennie, O. Seidou, J. Malenchak, and S. Zare, “Cold Regions Science and Technology Automated monitoring of river ice processes using shore-based imagery,” Cold Reg. Sci. Technol., vol. 142, no. June, pp. 1-16, 2017. [CrossRef] [Google Scholar]
- I. Fujita, M. Muste, and A. Kruger, “Large-scale particle image velocimetry for flow analysis in hydraulic engineering applications,” J. Hydraul. Res., vol. 36, no. 3, pp. 397-414, 1998. [CrossRef] [Google Scholar]
- I. Fujita and S. Aya, “Refinement of LSPIV technique for monitoring river surface flows,” Build. Partnerships, vol. 16, pp. 1-9, 2008. [Google Scholar]
- R. J. Adrian, “Multi-point optical measurements of simultaneous vectors in unsteady flow-a review,” Int. J. Heat Fluid Flow, vol. 7, no. 2, pp. 127-145, 1986. [CrossRef] [Google Scholar]
- T. Vanden Berghe, “Image processing for a LSPIV application on a river,” 2013. [Google Scholar]
- K. Flora, “Flood Flow Estimation using Large Scale Particle Image Velocimetry (LSPIV),” 2017. [Google Scholar]
- M. Jodeau, A. Hauet, J. L. E. Coz, Y. Bercovitz, F. Lebert, D. T. G. Edf, and U. Hhly, “Laboratory and field lspiv measurements of flow velocities using fudaa-lspiv, a free user-friendly software,” Proc. 1st Int. Symp. Exhib. Hydro-Environment Sensors Softw.-HydroSenSoft 2017, no. March, pp. 82-86, 2017. [Google Scholar]
- J. G. Venditti, C. D. Rennie, J. Bomhof, R. W. Bradley, M. Little, and M. Church, “Flow in bedrock canyons,” Nature, vol. 513, no. 7519, pp. 534-537, 2014. [CrossRef] [PubMed] [Google Scholar]
- D. Ham, “Morphodynamics and sediment transport in a wandering gravel-bed channel : Fraser River , British Columbia,” Phd diss., 2005. [Google Scholar]
- B. K. P. Horn and B. G. Schunck, “Determining optical flow,” Artif. Intell., vol. 17, no. 1-3, pp. 185-203, 1981. [CrossRef] [Google Scholar]
- S. D. Thota, K. S. Vemulapalli, K. Chintalapati, and P. Srinivas, “Comparison Between The Optical Flow Computational Techniques,” vol. 4, no. 10, pp. 4507-4511, 2013. [Google Scholar]
- M. Khalid, L. Pénard, E. Mémin, M. Khalid, L. Pénard, and E. Mémin, “Application of optical flow for river velocimetry,” in IGARSS 2017-37th IEEE Geoscience and Remote Sensing Symposium, 2017, pp. 1-4. [Google Scholar]
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