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	A Hierarchical Fully Convolutional Network Integrated with Sparse and Low-Rank Subspace Representations for PolSAR Imagery Classification
	Wang, Yan; He, Chu; Liu, Xinlong; Liao, Mingsheng
刊名	REMOTE SENSING
	2018
卷号	10期号:2
关键词	fully convolutional network (FCN) polarimetric synthetic aperture radar (PolSAR) image classification subspace learning graph embedding (GE) sparse representation (SR) low-rank representation (LRR)
ISSN号	2072-4292
DOI	10.3390/rs10020342
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/4144271
专题	武汉大学
推荐引用方式 GB/T 7714	Wang, Yan,He, Chu,Liu, Xinlong,et al. A Hierarchical Fully Convolutional Network Integrated with Sparse and Low-Rank Subspace Representations for PolSAR Imagery Classification[J]. REMOTE SENSING,2018,10(2).
APA	Wang, Yan,He, Chu,Liu, Xinlong,&Liao, Mingsheng.(2018).A Hierarchical Fully Convolutional Network Integrated with Sparse and Low-Rank Subspace Representations for PolSAR Imagery Classification.REMOTE SENSING,10(2).
MLA	Wang, Yan,et al."A Hierarchical Fully Convolutional Network Integrated with Sparse and Low-Rank Subspace Representations for PolSAR Imagery Classification".REMOTE SENSING 10.2(2018).

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