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	Domain Adaptation for Convolutional Neural Networks-Based Remote Sensing Scene Classification
	Song, S.; Yu, H.; Miao, Z.; Zhang, Q.; Lin, Y.; Wang, S.
刊名	IEEE Geoscience and Remote Sensing Letters
	2019
卷号	Vol.16 No.8页码:1324-1328
关键词	Convolutional neural networks (CNN) domain adaptation (DA) remote sensing (RS) scene classification subspace alignment (SA)
ISSN号	1545-598X
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2888391
专题	天津大学
作者单位	1.a Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China 2.b Department of Computer Science, University of Texas Rio Grande Valley, Edinburg, TX 78539, United States 3.c Brookhaven National Laboratory, Upton, NY 11973, United States 4.d Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, United States 5.e School of Computer Science and Technology, Tianjin University, Tianjin, 300350, China
推荐引用方式 GB/T 7714	Song, S.,Yu, H.,Miao, Z.,et al. Domain Adaptation for Convolutional Neural Networks-Based Remote Sensing Scene Classification[J]. IEEE Geoscience and Remote Sensing Letters,2019,Vol.16 No.8:1324-1328.
APA	Song, S.,Yu, H.,Miao, Z.,Zhang, Q.,Lin, Y.,&Wang, S..(2019).Domain Adaptation for Convolutional Neural Networks-Based Remote Sensing Scene Classification.IEEE Geoscience and Remote Sensing Letters,Vol.16 No.8,1324-1328.
MLA	Song, S.,et al."Domain Adaptation for Convolutional Neural Networks-Based Remote Sensing Scene Classification".IEEE Geoscience and Remote Sensing Letters Vol.16 No.8(2019):1324-1328.

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