QQ客服 官方微博 反馈留言

	Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines
	Lin He; Jun Li; Chenying Liu; Shutao Li
刊名	IEEE Transactions on Geoscience and Remote Sensing
	2017
页码	1-19
关键词	Hyperspectral imaging Adaptive systems Feature extraction Correlation Kernel Support vector machines Hyperspectral image neighborhood information performing paradigm spatial dependency system spectral-spatial classification
ISSN号	0196-2892
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/6046411
专题	湖南大学
作者单位	1.School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China 2.Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China 3.Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China 4.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
推荐引用方式 GB/T 7714	Lin He,Jun Li,Chenying Liu,et al. Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines[J]. IEEE Transactions on Geoscience and Remote Sensing,2017:1-19.
APA	Lin He,Jun Li,Chenying Liu,&Shutao Li.(2017).Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines.IEEE Transactions on Geoscience and Remote Sensing,1-19.
MLA	Lin He,et al."Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines".IEEE Transactions on Geoscience and Remote Sensing (2017):1-19.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。