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Performance Comparison of Wave Information Retrieval Algorithms Based on 3D Image Analysis Using VTS Sensor

VTS 센서를 이용한 3D영상 분석에 기초한 파랑 정보 추출 알고리즘 성능 비교

  • Ryu, Joong-seon (Department of Information and Communication Engineering, Hanbat National University) ;
  • Lim, Dong-hee (Department of Information and Communication Engineering, Hanbat National University) ;
  • Kim, Jin-soo (Department of Information and Communication Engineering, Hanbat National University) ;
  • Lee, Byung-Gil (Cyber Security System Research Department, ETRI)
  • Received : 2015.11.30
  • Accepted : 2015.12.30
  • Published : 2016.03.31

Abstract

As marine accidents happen frequently, it is required to establish a marine traffic monitoring system, which is designed to improve the safety and efficiency of navigation in VTS (Vessel Traffic Service). For this aim, recently, X-band marine radar is used for extracting the sea surface information and, it is necessary to retrieve wave information correctly and provide for the safe and efficient movement of vessel traffic within the VTS area. In this paper, three different current estimation algorithms including the classical least-squares (LS) fitting, a modified iterative least-square fitting routine and a normalized scalar product of variable current velocities are compared with buoy data and then, the iterative least-square method is modified to estimate wave information by improving the initial current velocity. Through several simulations with radar signals, it is shown that the proposed method is effective in retrieving the wave information compared to the conventional methods.

해양사고가 빈번히 발생함에 따라 해상교통관제를 통해 항해의 안전성과 효율성을 개선하기 위한 해상 트래픽 모니터링 시스템을 구축할 필요성이 대두되고 있다. 이와 같은 목적을 위해, 최근에 X-대역 해양 레이더는 해수면 정보를 수집하는데 사용하고 있는데, 파랑 정보를 정확하게 측정하여 해상교통관제 영역 내에서 선박의 안전하고 효율적인 움직임을 제공하는 것이 요구된다. 본 논문에서는 세 가지의 다른 해류 속도를 산출하는 방법 즉, 최소자승법을 이용한 방법, 해류 속도를 반복 최소자승 갱신 방법, 가변적인 해류 속도의 정규화된 스칼라 곱을 극대화하여 해류 속도 추정치를 제공하는 방법 등에 대해 부이 데이터와 비교하고, 그런 후에 반복 갱신 방법을 수정하여 초기의 해류 속도를 개선하여 효과적으로 파랑 정보를 예측하도록 설계된다. 다수의 실험을 통하여 제안한 방법은 기존 방식에 비해 파랑 정보를 효과적으로 추출할 수 있음을 보인다.

Keywords

References

  1. I. R. Young, W. Rosenthal, and F. Ziemer, "A Threedimensional Analysis of Marine Radar Images for the Determination of Ocean Wave Directionality and Surface Current," J. Geophy. Res., vol. 90(C1), pp. 1049-1059, Jan. 1985. https://doi.org/10.1029/JC090iC01p01049
  2. R. Gangeskar, "Ocean Current Estimated From X-Band Radar Sea Surface Images," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 4, pp. 783-792, April 2002. https://doi.org/10.1109/TGRS.2002.1006346
  3. F. Serafino, C. Lugni, and F. Soldovieri, "A Novel Strategy for the Surface Current Determination from Marine X-Band Radar Data," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 2, pp. 231-235, April 2010. https://doi.org/10.1109/LGRS.2009.2031878
  4. C.M. Senet, J. Seemann, and F. Ziemer, "The Near Surface Current Velocity Determined from Image Sequences of the Sea Surface," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 3, pp. 492-505, March 2001. https://doi.org/10.1109/36.911108
  5. W. Huang and E. Gill, "Simulation Analysis of Sea Surface Current Extraction from Microwave Nautical Radar Images," in Proceedings of the IEEE International Conference on Image Processing, Orlando, USA, Sept. 2012.
  6. J. Kim and B. Lee, "Wave Information Retrieval Algorithm based on Iterative Refinement," Journal of the Korea Industrial Information System Society, vol. 21, no. 1, pp.7-15, Feb. 2015.

Cited by

  1. Wave Information Estimation and Revision Using Linear Regression Model vol.19, pp.8, 2016, https://doi.org/10.9717/kmms.2016.19.8.1377