文献
J-GLOBAL ID:202102279555825825
整理番号:21A0447166
強化学習とウェーブレットに基づく時空間的多重時間SAR画像のための並列変化検出法【JST・京大機械翻訳】
A Parallel Change Detection Method for Spatiotemporally Multi-Temporal SAR Image Based On Enhance Learning and Wavelet
著者 (7件):
Peng Jinxi
(Xi’an JiaoTong University,Department of Computer Science and Technology,Xi’an,Shaanxi,China,720049)
,
Su Yuanqi
(Xi’an JiaoTong University,Department of Computer Science and Technology,Xi’an,Shaanxi,China,720049)
,
Xue Xiaorong
(Liaoning University of Technology (LUT),School of Electronics & Information Engineering,Jinzhou,China,222002)
,
Li Yi
(South China institute of software Engineering, Guangzhou University,Department of AI & software Engineering,Guangzhou,Guangdong,China,520990)
,
Liu Bin
(Research Institute Co.,Ltd,Intelligent and Connected Vehicles (Beijing),China,200276)
,
Xue Xiaoyong
(The Middle School of Luonan County,Shaanxi,China,726200)
,
Wu Aihua
(South China institute of software Engineering, Guangzhou University,Department of AI & software Engineering,Guangzhou,Guangdong,China,520990)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
ISCID
ページ:
38-43
発行年:
2020年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)