Remote sensing of nearshore currents using coastal optical imagery SCOPUS KCI

Title
Remote sensing of nearshore currents using coastal optical imagery
Author(s)
Yoo, J.; Kim, S.-S.
KIOST Author(s)
Yoo, Jeseon(유제선)
Alternative Author(s)
유제선; 김선신
Publication Year
2015
Abstract
In-situ measurements are labor-intensive, time-consuming, and limited in their ability to observe currents with spatial variations in the surf zone. This paper proposes an optical image-based method of measurement of currents in the surf zone. This method measures nearshore currents by tracking in time wave breaking-induced foam patches from sequential images. Foam patches in images tend to be arrayed with irregular pixel intensity values, which are likely to remain consistent for a short period of time. This irregular intensity feature of a foam patch is characterized and represented as a keypoint using an imagebased object recognition method, i.e., Scale Invariant Feature Transform (SIFT). The keypoints identified by the SIFT method are traced from time sequential images to produce instantaneous velocity fields. In order to remove erroneous velocities, the instantaneous velocity fields are filtered by binding them within upper and lower limits, and averaging the velocity data in time and space with a certain interval. The measurements that are obtained by this method are comparable to the results estimated by an existing image-based method of observing currents, named the Optical Current Meter (OCM). © 2015, Korea Ocean Research and Development Institute. All rights reserved.
ISSN
1598-141X
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/2580
DOI
10.4217/OPR.2015.37.1.011
Bibliographic Citation
Ocean and Polar Research, v.37, no.1, pp.11 - 22, 2015
Publisher
Korea Ocean Research and Development Institute
Subject
coastal current; nearshore dynamics; remote sensing; satellite imagery; spatial variation; surf zone; wave breaking; wave velocity
Keywords
Digital optical imagery; Nearshore currents; Remote sensing; Surf zone; Wave-induced foam
Type
Article
Language
Korean
Document Type
Article
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