Presentation 2019-10-31
Coastal Activity Risk Assessment using Aviation Images and Hyperspectral Images
Ho-Kun Jeon, Chan-Su Yang,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Coastal activities cause an increasing number of human casualties. This study purpose of assessing coastal activity risk by selecting and quantifying physical elements using remote sensing data such as aviation- and hyperspectral images. For tidal flat and breakwater, aviation images were used to categorize sediments and calculate the hole between tetrapods, respectively. For breakwater and seashore rocks, hyperspectral images were used to compute the ratio of moss.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Aviation image / aerial image / hyperspectral image / coastal activity / risk assessment
Paper # SANE2019-52
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) Coastal Activity Risk Assessment using Aviation Images and Hyperspectral Images
Sub Title (in English)
Keyword(1) Aviation image
Keyword(2) aerial image
Keyword(3) hyperspectral image
Keyword(4) coastal activity
Keyword(5) risk assessment
1st Author's Name Ho-Kun Jeon
1st Author's Affiliation Korea Institute of Ocean Science & Technology(KIOST)
2nd Author's Name Chan-Su Yang
2nd Author's Affiliation Korea Institute of Ocean Science & Technology(KIOST)
Date 2019-10-31
Paper # SANE2019-52
Volume (vol) vol.119
Number (no) SANE-255
Page pp.pp.29-32(SANE),
#Pages 4
Date of Issue 2019-10-24 (SANE)