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	Single Image Super-Resolution Based on Global Dense Feature Fusion Convolutional Network.
	Xu, Wang; Chen, Renwen; Huang, Bin; Zhang, Xiang; Liu, Chuan
刊名	Sensors
	2019
卷号	Vol.19 No.2页码:316
关键词	ARTIFICIAL neural networks *DEEP learning *FEATURE extraction *MULTISENSOR data fusion *HIGH resolution imaging *CORRELATION (Statistics)
ISSN号	1424-8220
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4740317
专题	湖南大学
作者单位	State Key Laboratory of Mechanics and Control of Mechanical Structures, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China
推荐引用方式 GB/T 7714	Xu, Wang,Chen, Renwen,Huang, Bin,et al. Single Image Super-Resolution Based on Global Dense Feature Fusion Convolutional Network.[J]. Sensors,2019,Vol.19 No.2:316.
APA	Xu, Wang,Chen, Renwen,Huang, Bin,Zhang, Xiang,&Liu, Chuan.(2019).Single Image Super-Resolution Based on Global Dense Feature Fusion Convolutional Network..Sensors,Vol.19 No.2,316.
MLA	Xu, Wang,et al."Single Image Super-Resolution Based on Global Dense Feature Fusion Convolutional Network.".Sensors Vol.19 No.2(2019):316.

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