Journal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 55, Issue 10, Pages 5790-5797Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2017.2714202
Keywords
Geophysical inverse problems; image motion analysis; remote sensing; rip currents; sea coast; sea surface; unmanned aerial vehicles (UAVs); wavelet transforms
Categories
Funding
- French National Research Agency (ANR) [COASTVAR: ANR-14-ASTR-0019]
- Institut National des Sciences de L'Univers
- United Nations Educational, Scientific and Cultural Organization
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Instant fields of surface current are retrieved from shore-based and unmanned aerial vehicle videos by an optical flow (OF) method named Typhoon. This computer vision algorithm estimates dense 2-D 2-component velocity fields from the observable motion of foam patterns in the surf zone. Despite challenging image data resolution and quality, comparison of OF surface current estimates with measurements by an acoustic Doppler velocimeter reveals its ability to capture both wave-towave fluctuations and low-frequency variations. The method is also successfully applied to the monitoring of a flash rip event. This paper shows clearly the high potential of this method in the nearshore, where the rapid development of webcams and drones offers a large number of applications for swimming and surfing safety, engineering and naval security, and research purpose, by providing quantitative information.
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