Presentation 2019-10-31
Estimation of Ship Velocity from Multispectral Satellite Image
Tae-Ho Kim, JeongJu Bae, Chan-Su Yang,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this study, we present the estimation results of ship velocity using a multispectral satellite image. In the case of moving ship, its position in a satellite image varies at each band due to the time offsets of multiple bands. We have proposed an algorithm for estimating the ship velocity using these characteristics. The red and blue band data of the Sentinel-2 satellites used, and the reference point for distance calculation was set using the template matching method with the highest cross-correlation. As a result of estimating the velocity of the same ship, the satellite-based method showed a velocity of 15.91 m/s, and the AIS was 19.86 m/s. In this paper, we compared the estimated speeds for only one ship. In satellite imagery, the reflection from ships may be affected by ship size, speed, direction, and maritime conditions. Therefore, verification of the speed estimation result under various states should be performed. The results of this study are expected to be able to determine the information of multiple ships using a single satellite.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Ship velocity / Sentinel-2 image / Multispectral satellite image / Deep learning
Paper # SANE2019-54
Date of Issue 2019-10-24 (SANE)

Conference Information
Committee SANE
Conference Date 2019/10/31(2days)
Place (in Japanese) (See Japanese page)
Place (in English) KOREA (Jeju)
Topics (in Japanese) (See Japanese page)
Topics (in English) ICSANE2019
Chair Akitsugu Nadai(NICT)
Vice Chair Hiroyoshi Yamada(Niigata Univ.) / Makoto Tanaka(Tokai Univ.)
Secretary Hiroyoshi Yamada(Univ. of Electro-Comm.) / Makoto Tanaka(Mitsubishi Electric)
Assistant Ryo Natsuaki(Univ. of Tokyo) / Masato Yamanashi(Mitsubishi Space Software) / Shunichi Futatsumori(ENRI)

Paper Information
Registration To Technical Committee on Space, Aeronautical and Navigational Electronics
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimation of Ship Velocity from Multispectral Satellite Image
Sub Title (in English)
Keyword(1) Ship velocity
Keyword(2) Sentinel-2 image
Keyword(3) Multispectral satellite image
Keyword(4) Deep learning
1st Author's Name Tae-Ho Kim
1st Author's Affiliation Korea Institute of Ocean Science & Technology(KIOST)
2nd Author's Name JeongJu Bae
2nd Author's Affiliation Korea Institute of Ocean Science & Technology(KIOST)
3rd Author's Name Chan-Su Yang
3rd Author's Affiliation Korea Institute of Ocean Science & Technology(KIOST)
Date 2019-10-31
Paper # SANE2019-54
Volume (vol) vol.119
Number (no) SANE-255
Page pp.pp.37-40(SANE),
#Pages 4
Date of Issue 2019-10-24 (SANE)