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Merging of Satellite Remote Sensing and Environmental Stress Model for Ensuring Marine Safety
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 Title & Authors
Merging of Satellite Remote Sensing and Environmental Stress Model for Ensuring Marine Safety
Yang, Chan-Su; Park, Young-Soo;
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A virtual vessel traffic control system is introduced to contribute to prevent a marine accident such as collision and stranding from happening. Existing VTS has its limit. The virtual vessel traffic control system consists of both data acquisition by satellite remote sensing and a simulation of traffic environment stress based on the satellite data, remotely sensed data And it could be used to provide timely and detailed information about the marine safety, including the location, speed and direction of ships, and help us operate vessels safely and efficiently. If environmental stress values are simulated for the ship information derived from satellite data, proper actions can be taken to prevent accidents. Since optical sensor has a high spatial resolution, JERS satellite data are used to track ships and extract their information. We present an algorithm of automatic identification of ship size and velocity. It lastly is shown that based on ship information extracted from JERS data, a qualitative evaluation method of environmental stress is introduced.
satellite remote sensing;environmental stress model;virtual vessel traffic control system;
 Cited by
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한국항해항만학회지, 2005. vol.29. 2, pp.151-157 crossref(new window)
Allan, T.D. Editor(1983): Satellite microwave remote sensing, Ellis Horwood Limited

Ducet, N, P.Y. Le Traon, G. Reverdin(1999): Global high resolution mapping of ocean circulation from the combination of Topex/Poseidon and ERS-1/2. J. Geophys. Res.

Jones, I.S.F., Y. Sugimori, R.W. Stewart(1993): Satellite Remote Sensing of the Oceanic Environment, Seibutsu Kenkyusha

Korean Maritime Safety Tribunal(2000): Marine Safety Tribunal(2000)

Korean Maritime Safety Tribunal(2001): Marine Safety Tribunal(2001)

Korean Maritime Safety Tribunal(2002): Marine Safety Tribunal(2002)

Inoue, K.(2000): Evaluation method of ship-handling difficulty for navigation in restricted and congested waterways, The Royal Institute of Navigation, vol. 53, pp. 167-18 crossref(new window)

Inoue, K, M. Kubota, M. Miyasaka, and D. Hara(1998): Modeling of Mariners' Perception of Safety, J. Navigation, No. 98, pp.235-245 (In Japanese)

Park, Y.S., J.Y. Jeong, J.S. Park, and K. Inoue(2003): An Assessment of the Quantitative Effect of TSS by Vessel Traffic Flow Simulation, J. Korean Society of Transportation, Vol. 21(1), pp41-49. (In Korean)

Shim, W.S. and S.H. Suh(2000): Analysis of requirements for Automatic Identification System, J. Korean Society for Marine Environ. Eng., Vol. 3, No.1, pp.45-51

Vachon, P.W, J.W.M. Campbell, C. Bjerkelund, F.W. Dobson, and M.T. Rey(1997): Ship detection by the RADARSAT SAR: Validation of detection model predictions. Can. J. Rem. Sens., vol. 23(1), pp.4859

Yang, C.S., T. Suga, N. Shikama(2002): Trajectories of profiling floats in the Kuroshio Extension Region, A. J. Hydraulic Eng., Vol.46, pp. 989-994. (In Japanese) crossref(new window)

Yang, C.S., A. Ishida, N. Iwasaka(2002): On Prediction of the Argo Floats Drifted Ashore after Termination, Report of Japan Marine Science and Technology Center, Vol.46, pp. 989-994. (In Japanese)