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	A Novel Deep Fully Convolutional Network for PolSAR Image Classification
	Yangyang Li; Yanqiao Chen; Guangyuan Liu; Licheng Jiao
刊名	Remote Sensing
	2018
卷号	Vol.10 No.12页码:1984
关键词	polarimetric synthetic aperture radar (PolSAR) fully convolutional network (FCN) sliding window fully convolutional network and sparse coding (SFCN-SC) convolutional neural network (CNN)
ISSN号	2072-4292
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/5462492
专题	湖南大学
作者单位	School of Artificial Intelligence, Xidian University, Xi’an 710071, Shaanxi, China School of Artificial Intelligence, Xidian University, Xi’an 710071, Shaanxi, China School of Artificial Intelligence, Xidian University, Xi’an 710071, Shaanxi, China School of Artificial Intelligence, Xidian University, Xi’an 710071, Shaanxi, China
推荐引用方式 GB/T 7714	Yangyang Li,Yanqiao Chen,Guangyuan Liu,et al. A Novel Deep Fully Convolutional Network for PolSAR Image Classification[J]. Remote Sensing,2018,Vol.10 No.12:1984.
APA	Yangyang Li,Yanqiao Chen,Guangyuan Liu,&Licheng Jiao.(2018).A Novel Deep Fully Convolutional Network for PolSAR Image Classification.Remote Sensing,Vol.10 No.12,1984.
MLA	Yangyang Li,et al."A Novel Deep Fully Convolutional Network for PolSAR Image Classification".Remote Sensing Vol.10 No.12(2018):1984.

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