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Performance Improvement of Wave Information Retrieval Algorithm Using Noise Reduction

  • Lee, Byung-Gil (ICT Convergence Security Research Team, ETRI) ;
  • Lim, Dong-hee (Department of Multimedia Engineering, Hanbat National University) ;
  • Kim, Jin-soo (Department of Information & Communication Engineering, Hanbat National University)
  • Received : 2017.07.04
  • Accepted : 2017.08.07
  • Published : 2017.09.30

Abstract

This paper describes the upgrade of an existing wave information retrieval algorithm by employing noise reduction in the pixel domain. Several algorithms for collecting wave information parameters from X-band radar image sequences including the wind field and current velocity have been developed over the past three decades. Using these algorithms, a band-pass filter (BPF) is applied to remove the non-wave contribution from the image spectra after the sea surface current velocity has been computed. However, such BPF designs have been both complex and insufficient in removing undesired components in X-band radar images. For this study, to improve the performance of wave information retrieval, an efficient noise reduction algorithm is incorporated into a regular wave information retrieval process. That is, the proposed algorithm was designed for operation in a more proper manner by effectively removing the undesired components in the pixel domain. Experiment results demonstrate that the proposed algorithm produces very close estimates to the buoy data records under undesirable noise conditions.

Keywords

References

  1. I. R. Young, W. Rosenthal, and F. Ziemer, "A three-dimensional analysis of marine radar images for the determination of ocean wave directionality and surface current," Journal of Geophysical Research, vol. 90, no. C1, pp. 1049-1059, 1985. https://doi.org/10.1029/JC090iC01p01049
  2. R. Gangeskar, "Ocean current estimated from X-band radar sea surface images," IEEE Transactions on Geoscience and Remote Sensing, vol. 40, no. 4, pp. 783-792, 2002. https://doi.org/10.1109/TGRS.2002.1006346
  3. C. M. Senet, J. Seemann, and F. Ziemer, "The near surface current velocity determined from image sequences of the sea surface," IEEE Transactions on Geoscience and Remote Sensing, vol. 39, no. 3, pp. 492-505, 2001. https://doi.org/10.1109/36.911108
  4. J. An, W. Huang, and E. W. Gill, "A self-adaptive wavelet-based algorithm for wave measurement using nautical radar," IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 1, pp. 567-577, 2015 https://doi.org/10.1109/TGRS.2014.2325782
  5. K. Reichert and K. Hessner, "High-resolution radar wave and current measurements in highly inhomogeneous coastal areas," in Proceedings of 2015 IEEE Underwater Technology, Chennai, India, 2015, pp. 1-10.
  6. V. Fedorov, G. Faqcciolo, and P. Arias, "Variational framework for non-local inpainting," Image Processing on Line, vol. 5, pp. 362-386, 2015. https://doi.org/10.5201/ipol.2015.136
  7. Buoy Measurement Data [Internet], Available: http://www.khoa.go.kr.
  8. G. J. Komen, L. Cavaleri, M. Donelan, K. Hasselmann, S. Hasselmann, and P. A. E. M. Janssen, Dynamics and Modelling of Ocean Waves. Cambridge, UK: Cambridge University Press, 1994.
  9. Yeon Engineering Co. Ltd., "Correction method of the significant wave height from images of x-band nautical radar system," Korea Patent 10-0950301, 2010.
  10. T. M. Comberiate, R. L. Schmid, J. E. Hodkin, M. D. Sharp, and J. A. Nanzer, "A bandpass sampling receiver for wide-bandwidth, spectrally-sparse waveforms for high-accuracy range measurements," IEEE Microwave and Wireless Components Letters, vol. 27, no. 1, pp. 88-90, 2017. https://doi.org/10.1109/LMWC.2016.2629966