QQ客服 官方微博 反馈留言

	A spatiotemporal deep learning model for sea surface temperature field prediction using time-series satellite data
	Xiao, Changjiang; Chen, Nengcheng; Hu, Chuli; Wang, Ke; Xu, Zewei; Cai, Yaping; Xu, Lei; Chen, Zeqiang; Gong, Jianya
刊名	ENVIRONMENTAL MODELLING & SOFTWARE
	2019
卷号	120
关键词	Big data modelling Spatiotemporal deep learning ConvLSTM Sea surface temperature (SST) Field prediction Time-series satellite data
ISSN号	1364-8152
DOI	10.1016/j.envsoft.2019.104502
URL标识	查看原文
收录类别	SCIE
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4216171
专题	武汉大学
推荐引用方式 GB/T 7714	Xiao, Changjiang,Chen, Nengcheng,Hu, Chuli,et al. A spatiotemporal deep learning model for sea surface temperature field prediction using time-series satellite data[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2019,120.
APA	Xiao, Changjiang.,Chen, Nengcheng.,Hu, Chuli.,Wang, Ke.,Xu, Zewei.,...&Gong, Jianya.(2019).A spatiotemporal deep learning model for sea surface temperature field prediction using time-series satellite data.ENVIRONMENTAL MODELLING & SOFTWARE,120.
MLA	Xiao, Changjiang,et al."A spatiotemporal deep learning model for sea surface temperature field prediction using time-series satellite data".ENVIRONMENTAL MODELLING & SOFTWARE 120(2019).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。