文献
J-GLOBAL ID:202002291475185942
整理番号:20A2500015
空間スペクトル画像融合のための近位深部注入と勾配強度類似性に基づく新しい変分アプローチ【JST・京大機械翻訳】
A New Variational Approach Based on Proximal Deep Injection and Gradient Intensity Similarity for Spatio-Spectral Image Fusion
著者 (7件):
Wu Zhong-Cheng
(School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China)
,
Huang Ting-Zhu
(School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China)
,
Deng Liang-Jian
(School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China)
,
Vivone Gemine
(CNR-IMAA, National Research Council - Institute of Methodologies for Environmental Analysis, Tito Scalo, Italy)
,
Miao Jia-Qing
(School of Computer Science, and Technology, University of Southwest Minzu of China, Chengdu, China)
,
Hu Jin-Fan
(School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China)
,
Zhao Xi-Le
(School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China)
資料名:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)
巻:
13
ページ:
6277-6290
発行年:
2020年
JST資料番号:
W2259A
ISSN:
1939-1404
CODEN:
IJSTHZ
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)