Presentation 2018-11-09
Classification of Hyperspectral Image using Convolutional Neural Network to Detect Coastal Water Features
Tae-Ho Kim, Chan-Su Yang,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # SANE2018-86
Date of Issue 2018-11-01 (SANE)

Conference Information
Committee SANE
Conference Date 2018/11/7(3days)
Place (in Japanese) (See Japanese page)
Place (in English) China (Xuchang)
Topics (in Japanese) (See Japanese page)
Topics (in English) ICSANE2018
Chair Sonosuke Fukushima(ENRI)
Vice Chair Toshifumi Moriyama(Nagasaki Univ.) / Akitsugu Nadai(NICT)
Secretary Toshifumi Moriyama(ENRI) / Akitsugu Nadai(Univ. of Electro-Comm.)
Assistant Ryo Natsuaki(Univ. of Tokyo) / Masato Yamanashi(Mitsubishi Space Software) / Takeshi Amishima(Mitsubishi Electric)

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) Classification of Hyperspectral Image using Convolutional Neural Network to Detect Coastal Water Features
Sub Title (in English)
Keyword(1)
1st Author's Name Tae-Ho Kim
1st Author's Affiliation Korea Institute of Ocean Science and Technology(KIOST)
2nd Author's Name Chan-Su Yang
2nd Author's Affiliation Korea Institute of Ocean Science and Technology(KIOST)
Date 2018-11-09
Paper # SANE2018-86
Volume (vol) vol.118
Number (no) SANE-287
Page pp.pp.153-156(SANE),
#Pages 4
Date of Issue 2018-11-01 (SANE)