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Technical Note

Application of Optical Flow Technique and Photogrammetry for Rockfall Dynamics: A Case Study on a Field Test

1
AICLOPS Inc., Goyangdae-ro 283, Goyang-si 10223, Korea
2
Department of Griffith Science, Griffith University, Gold Coast, Parklands Drive, Southport, QLD 4222, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Ayman F. Habib
Remote Sens. 2021, 13(20), 4124; https://doi.org/10.3390/rs13204124
Received: 25 August 2021 / Revised: 9 October 2021 / Accepted: 10 October 2021 / Published: 14 October 2021
Optical flow is a vision-based approach that is used for tracking the movement of objects. This robust technique can be an effective tool for determining the source of failures on slope surfaces, including the dynamic behavior of rockfall. However, optical flow-based measurement still remains an issue as the data from optical flow algorithms can be affected by the varied photographing environment, such as weather and illuminations. To address such problems, this paper presents an optical flow-based tracking algorithm that can be employed to extract motion data from video records for slope monitoring. Additionally, a workflow combined with photogrammetry and the optical flow technique has been proposed for producing highly accurate estimations of rockfall motion. The effectiveness of the proposed approach has been evaluated with the dataset obtained from a photogrammetry survey of field rockfall tests performed by the authors in 2015. The results show that the workflow adopted in this study can be suitable to identify rockfall events overtime in a slope monitoring system. The limitations of the current approach are also discussed. View Full-Text
Keywords: rockfall tracking; image change detection; optical flow; photogrammetry rockfall tracking; image change detection; optical flow; photogrammetry
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MDPI and ACS Style

Kim, D.-H.; Gratchev, I. Application of Optical Flow Technique and Photogrammetry for Rockfall Dynamics: A Case Study on a Field Test. Remote Sens. 2021, 13, 4124. https://doi.org/10.3390/rs13204124

AMA Style

Kim D-H, Gratchev I. Application of Optical Flow Technique and Photogrammetry for Rockfall Dynamics: A Case Study on a Field Test. Remote Sensing. 2021; 13(20):4124. https://doi.org/10.3390/rs13204124

Chicago/Turabian Style

Kim, Dong-Hyun, and Ivan Gratchev. 2021. "Application of Optical Flow Technique and Photogrammetry for Rockfall Dynamics: A Case Study on a Field Test" Remote Sensing 13, no. 20: 4124. https://doi.org/10.3390/rs13204124

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