QQ客服 官方微博 反馈留言

	PCA-Based Edge-Preserving Features for Hyperspectral Image Classification
	Kang, Xudong; Xiang, Xuanlin; Li, Shutao; Benediktsson, Jon Atli
刊名	IEEE Transactions on Geoscience and Remote Sensing
	2017
卷号	Vol.55 No.12页码:7140-7151
关键词	Image edge detection Principal component analysis Hyperspectral imaging Feature extraction Support vector machines Transforms Edge-preserving filtering hyperspectral image (HSI) image classification principal component analysis (PCA) support vector machine (SVM)
ISSN号	0196-2892;1558-0644
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/6051793
专题	湖南大学
作者单位	1.College of Electrical and Information Engineering, Hunan University, Changsha 2.410082, China 3.Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik 4.101, Iceland
推荐引用方式 GB/T 7714	Kang, Xudong,Xiang, Xuanlin,Li, Shutao,et al. PCA-Based Edge-Preserving Features for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing,2017,Vol.55 No.12:7140-7151.
APA	Kang, Xudong,Xiang, Xuanlin,Li, Shutao,&Benediktsson, Jon Atli.(2017).PCA-Based Edge-Preserving Features for Hyperspectral Image Classification.IEEE Transactions on Geoscience and Remote Sensing,Vol.55 No.12,7140-7151.
MLA	Kang, Xudong,et al."PCA-Based Edge-Preserving Features for Hyperspectral Image Classification".IEEE Transactions on Geoscience and Remote Sensing Vol.55 No.12(2017):7140-7151.

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。