Browse > Article
http://dx.doi.org/10.17820/eri.2022.9.3.154

Analysis of Surface Image Velocity Field without Ground Control Points using Drone Navigation Information  

Yu, Kwonkyu (Department of Civil Engineering, Dong-eui University)
Lee, Junhyeong (Department of Civil and Environmental Engineering, Myong-ji University)
Publication Information
Ecology and Resilient Infrastructure / v.9, no.3, 2022 , pp. 154-162 More about this Journal
Abstract
In this study, a technique for estimating water surface velocity fields in the Universal Transverse Mercator coordinate system using the GPS information of a propagating drone but not ground control points is developed. First, we determine the image direction in which the upper side of an image is directed based on the navigation information of the drone. Subsequently, we assign the start and end frames of the video used and determine the analysis range. Using these two frames, we segment the measurement cross-section into a few subsections at regular intervals. At these subsections, we analyze 30 frame images to create spatio-temporal volumes for calculating the velocity fields. The results of the developed method (propagating drone surface image velocimetry) are compared with those of the existing method (hovering drone surface image velocimetry), and relatively good agreement is indicated between both in terms of the velocity fields.
Keywords
Drone; Ground control point; Spatio-temporal image; Surface image velocimetry; Video;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Kinoshita, R. 1967. An analysis of the movement of flood waters by aerial photography concerning characteristics of turbulence and surface flow, Journal of the Japan Society of Photogrammetry 6: 1-17. (in Japanese)   DOI
2 Liu, B. 2021. Development of techniques for measuring velocities of river surfaces using drone images and flight information. Ph.D. theis, Department of Civil Engineering, Dong-eui University. (in Korean)
3 Tauro, F., Petroselli, A., and Arcangeletti, E. 2016. Assessment of drone-based surface flow observations, Hydrological Processes 30: 1114-1130.   DOI
4 Yu, K. and Liu, B. 2021. Calculation of surface image velocity fields by analyzing spatio-temporal volumes with the fast Fourier transform. Journal of Korea Water Resources Association 54(11): 933-942. (in Korean)   DOI
5 Lee, J.H., Yoon, B.M., and Kim, S.J. 2021. Development of surface velocity measurement techniques without reference points using UAV image. Ecology and Resilient Infrastructures 8: 22-31. (in Korean)
6 Bolognesi, M., Farina, G., Alvisi, S., Franchini, M., Pellegrinelli, A., and Russo, P. 2016. Measurement of surface velocity in open channels using a lightweight remotely piloted aircraft system, Geomatics, Natural Hazards and Risk, Talyor & Francis.
7 Fujita, I. 2013. Utilization of far-infrared-ray camera for image-based measurement of river flow and discharge. Nagare 32: 347-352. (in Japanese)
8 Kunida, Y., Fujita, I., and Tsubaki, R. 2009. "Analysis of flood using video images from a helicopter and shallow water equation based on unstructured grid system", Annual Journal of Hydraulic Engineering, Japan Society of Civil Engineers 53: 991-996. (in Japanese)
9 Notoya, Y., Fujita, I., and Tateguchi, S. 2016. Image stabilization of video images shoot from air vehicles in navigation mode and its application to flood measurements. Journal of Japan Society of Civil Engineers, B1 (Water Resources Engineering) 72. I_877-I_882. (in Japanese)
10 Takehara, K., Fujita, K., Takano, Y., Etoh, G., Aya, S., Tamai, M., Miyamoto, H., and Sakai, N. 2002. An attempt of field measurements of surface flow on a river by using a helicopter aided image velocimetry, Annual Journal of Hydraulic Engineering, Japan Society of Civil Engineers 46: 809-814. (in Japanese)
11 Yu, K. and Hwang, J.G. 2017. Measurement of surface velocity in open channels using cameras on a drone, Journal of Korean Society of Hazard Mitigation 17: 403-413. (in Korean)   DOI