文献
J-GLOBAL ID:202102281742761670
整理番号:21A2572940
多目的ベース極端学習機械によるハイパースペクトル画像のスパース特徴学習【JST・京大機械翻訳】
Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine
著者 (7件):
Fang Xiaoping
(The Department of Computer Science, China University of Geosciences, Wuhan 430074, China)
,
Cai Yaoming
(The Department of Computer Science, China University of Geosciences, Wuhan 430074, China)
,
Cai Zhihua
(The Department of Computer Science, China University of Geosciences, Wuhan 430074, China)
,
Cai Zhihua
(The Beibu Gulf Big Data Resources Utilization Laboratory, Beibu Gulf University, Qinzhou 535011, China)
,
Jiang Xinwei
(The Department of Computer Science, China University of Geosciences, Wuhan 430074, China)
,
Chen Zhikun
(The Beibu Gulf Big Data Resources Utilization Laboratory, Beibu Gulf University, Qinzhou 535011, China)
,
Chen Zhikun
(The Guangxi Key Laboratory of Marine Disaster in the Beibu Gulf, Beibu Gulf University, Qinzhou 535011, China)
資料名:
Sensors (Web)
(Sensors (Web))
巻:
20
号:
5
ページ:
1262
発行年:
2020年
JST資料番号:
U7015A
ISSN:
1424-8220
CODEN:
SENSC9
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)