文献
J-GLOBAL ID:202202281489109934
整理番号:22A0977535
ラプラシアン正則化協調表現射影によるハイパースペクトル画像のための教師なし次元縮小【JST・京大機械翻訳】
Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection
著者 (6件):
Jiang Xinwei
(School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China)
,
Xiong Liwen
(School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China)
,
Yan Qin
(School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China)
,
Zhang Yongshan
(School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China)
,
Liu Xiaobo
(School of Automation and the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, China University of Geosciences, Wuhan, China)
,
Cai Zhihua
(School of Computer Science and the Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, China)
資料名:
IEEE Geoscience and Remote Sensing Letters
(IEEE Geoscience and Remote Sensing Letters)
巻:
19
ページ:
ROMBUNNO.6007805.1-5
発行年:
2022年
JST資料番号:
W1397A
ISSN:
1545-598X
CODEN:
IGRSBY
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)