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	Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification
	Chenying Liu; Jun Li; Lin He
刊名	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
	2019
卷号	Vol.12 No.1页码:357-370
关键词	Hyperspectral imaging Training Semisupervised learning Imaging Supervised learning Active learning clustering hyperspectral image classification semisupervised learning superpixel
ISSN号	1939-1404;2151-1535
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/4610399
专题	湖南大学
作者单位	1.Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China 2.Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, College of Electrical and Information Engineering, Hunan University, Changsha, China 3.School of Automation Science and Engineering, South China University of Technology, Guangzhou, China
推荐引用方式 GB/T 7714	Chenying Liu,Jun Li,Lin He. Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2019,Vol.12 No.1:357-370.
APA	Chenying Liu,Jun Li,&Lin He.(2019).Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,Vol.12 No.1,357-370.
MLA	Chenying Liu,et al."Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification".IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol.12 No.1(2019):357-370.

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