A Study on Identification of Ship Type by B-Scope Radar Image using AI
A Study on Identification of Ship Type by B-Scope Radar Image using AI
In a ship traffic survey,it is time taking to identify the type of small ships less than 500 GT those are not required to have AIS on board.Particularly in the nighttime survey when the visibility is limited,time to check the observed record is necessary.Also at night,it is concerned that the observation accuracy might be lower than day time as the identification of ship type tends to depend on the subjective judgement of the observation personnel in nighttime.In this study,aiming at the work and time saving ship traffic survey,we reviewed the possibility of ship type identification by the radar reflection intensity distribution using Artificial Intelligence(AI).At this stage,review on two methods of the ship type identification using AI technology are underway:one by camera images of the ships and the other by the radar reflection intensity distribution.In this paper,we report the result of the review using the radar reflection intensity distribution.
Yasuyuki HIDAKA;Hideaki NAKAMURA;Tatsuto YAMADA;Naoki MUTA;Ryotarou OHNO;Shinji MIZUI;
Chuden Engineering Consultants Co.,Ltd, 2-3-30 Deshio,Minami-ku,Hiroshima city, Hiroshima, Japan;Graduate School of Sciences & Technology for Innovation Yamaguchi University, 2-16-1 Tokiwadai, Ube city, Yamaguchi, Japan;Japan Coast Guard Academy, 5-1 Wakaba-cho, Kure city, Hiroshima, Japan;Chuden Engineering Consultants Co.,Ltd, 2-3-30 Deshio,Minami-ku,Hiroshima city, Hiroshima, Japan;Hiroshima National College of Maritime Technology, 4272 Higashino, Oosakikamisima-cho,Hiroshima,Japan;Chuden Engineering Consultants Co.,Ltd, 2-3-30 Deshio,Minami-ku,Hiroshima city, Hiroshima, Japan;
navigation instruments/measurement AI technology radar reflection intensity distribution
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