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Estimation of Significant Wave Heights from X-Band Radar Using Artificial Neural Network

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초록

Wave measurements using X-band radar have many advantages compared to other wave gauges including wave-rider buoy, P-u-v gauge and Acoustic Doppler Current Profiler (ADCP), etc.. For example, radar system has no risk of loss/damage in bad weather conditions, low maintenance cost, and provides spatial distribution of waves from deep to shallow water. This paper presents new methods for estimating significant wave heights of X-band marine radar images using Artificial Neural Network (ANN). We compared the time series of estimated significant wave heights (Hs) using various estimation methods, such as signal-to-noise ratio ( ), both and the peak period (TP), and ANN with 3 parameters (, TP, and Rval > k). The estimated significant wave heights of the X-band images were compared with wave measurement using ADCP(AWC: Acoustic Wave and Current Profiler) at Hujeong Beach, Uljin, Korea. Estimation of Hs using ANN with 3 parameters (, TP, and Rval > k) yields best result.

Abstract

Wave measurements using X-band radar have many advantages compared to other wave gauges including wave-rider buoy, P-u-v gauge and Acoustic Doppler Current Profiler (ADCP), etc.. For example, radar system has no risk of loss/damage in bad weather conditions, low maintenance cost, and provides spatial distribution of waves from deep to shallow water. This paper presents new methods for estimating significant wave heights of X-band marine radar images using Artificial Neural Network (ANN). We compared the time series of estimated significant wave heights (Hs) using various estimation methods, such as signal-to-noise ratio ( ), both and the peak period (TP), and ANN with 3 parameters (, TP, and Rval > k). The estimated significant wave heights of the X-band images were compared with wave measurement using ADCP(AWC: Acoustic Wave and Current Profiler) at Hujeong Beach, Uljin, Korea. Estimation of Hs using ANN with 3 parameters (, TP, and Rval > k) yields best result.

참고문헌 (6)

  1. Ahn, K., "New calibration method applicable to significant wave heights obtained by X-band radar", Coastal Engineering Proceedings, (34), pp.15~15 (2014)
  2. Ahn, K., "Algorithm for detection of current and water-depth using X-band marine radar", Procedia Engineering, 116, pp.818~823 (2015)
  3. Alpers, W., "Spectral signal to clutter and thermal noise properties of ocean wave imaging synthetic aperture radars", International Journal of Remote Sensing, 3(4), pp.423~446 (1982)
  4. Borge, J. N., "Analysis of directional wave fields using X-band navigation radar", Coastal Engineering, 40(4), pp.375~391 (2000)
  5. Nieto Borge, J., "Inversion of marine radar images for surface wave analysis", Journal of Atmospheric and Oceanic Technology, 21(8), pp.1291~1300 (2004)
  6. Young, I. R., "A three‐dimensional analysis of marine radar images for the determination of ocean wave directionality and surface currents", Journal of Geophysical Research: Oceans, 90(C1), pp.1049~1059 (1985)

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