Projects per year
Abstract
A new method of runup detection from video imagery is introduced and validated at an energetic dissipative beach. The instantaneous waterline is detected from uprush and backwash by using the Radon Transform (RT). The method is compared to conventional color contrast method from RGB images and LiDAR measurements. In our observations, the RT shows better detection skill even for adverse conditions, such as those present on flat dissipative swash zones where contrast is reduced. Because the RT is a proxy of deeper waterline (~0.1 m) it is less sensitive to lack of contrast due to sand saturation. Moreover, since it is based on motion detection, it is less sensitive to changes in lighting conditions. Overall, the RT offers an ttractive
alternative for long term automated detection of the runup.
alternative for long term automated detection of the runup.
Original language | English |
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Pages (from-to) | 46-51 |
Number of pages | 6 |
Journal | Coastal Engineering |
Volume | 130 |
Early online date | 11 Oct 2017 |
DOIs | |
Publication status | Published - Dec 2017 |
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Dive into the research topics of 'Wave runup video detection using the Radon Transform'. Together they form a unique fingerprint.Projects
- 1 Finished
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Waves in Shallow Water
Blenkinsopp, C. (PI)
Engineering and Physical Sciences Research Council
15/02/16 → 8/10/17
Project: Research council
Profiles
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Chris Blenkinsopp
- Department of Architecture & Civil Engineering - Senior Lecturer
- Water Innovation and Research Centre (WIRC)
- Centre for Climate Adaptation & Environment Research (CAER)
- Institute of Sustainability and Climate Change
Person: Research & Teaching, Core staff, Affiliate staff