文献
J-GLOBAL ID:202102252095380311
整理番号:21A2433502
セマンティックラベリングのための完全畳込みネットワークにおけるマルチモーダルリモートセンシングデータの効果的融合【JST・京大機械翻訳】
Effective Fusion of Multi-Modal Remote Sensing Data in a Fully Convolutional Network for Semantic Labeling
著者 (7件):
Zhang Wenkai
(Key Laboratory of Spatial Information Processing and Application System Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
,
Zhang Wenkai
(School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Huairou District, Beijing 100049, China)
,
Huang Hai
(Institute for Applied Computer Science, Bundeswehr University Munich, Werner-Heisenberg-Weg 39, D-85577 Neubiberg, Germany)
,
Schmitz Matthias
(Institute for Applied Computer Science, Bundeswehr University Munich, Werner-Heisenberg-Weg 39, D-85577 Neubiberg, Germany)
,
Sun Xian
(Key Laboratory of Spatial Information Processing and Application System Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
,
Wang Hongqi
(Key Laboratory of Spatial Information Processing and Application System Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
,
Mayer Helmut
(Institute for Applied Computer Science, Bundeswehr University Munich, Werner-Heisenberg-Weg 39, D-85577 Neubiberg, Germany)
資料名:
Remote Sensing (Web)
(Remote Sensing (Web))
巻:
10
号:
1
ページ:
52
発行年:
2017年
JST資料番号:
U7270A
ISSN:
2072-4292
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)