Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images

doi:10.1109/TGRS.2018.2849443

CORC > 国家天文台 > 中国科学院国家天文台

	Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images
	Yang, Chen 1,2; Bruzzone, Lorenzo 3; Zhao, Haishi 4; Tan, Yulei 1; Guan, Renchu 4
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2018-12-01
卷号	56 期号:12 页码:7230-7245
关键词	Affinity propagation (AP) band criterion band selection (BS) hyperspectral images superpixel
ISSN号	0196-2892
DOI	10.1109/TGRS.2018.2849443
英文摘要	This paper presents an unsupervised approach to band selection in hyperspectral images that considers both spectral and spatial information in data dimensionality reduction. The approach exploits the concepts of superpixel and chunklets for identifying the spectral channels most suitable to be used in classification for discriminating land-cover classes. The segmented superpixels can be regarded as many small spectral homogeneous and spatial neighboring pixel chunklets. Based on the observation that the superpixel chunklets achieve high homogeneity and consistency within land-cover classes, a series of band criteria (BC) is identified by learning the optimal band transformation that results in low within-class variability and high total variability. Then, the learned BC, which are called band measures, are given in input to an efficient clustering algorithm, i.e., the affinity propagation, for selecting highly separable bands with low redundancy. The effectiveness of proposed approach was assessed on three hyperspectral data sets. The results point out the advantages of the proposed methods over five state-of-the-art unsupervised methods.
资助项目	National Natural Science Foundation of China[61572228] ; National Key Basic Research Program of China[2015CB453000] ; Science-Technology Development Plan Project of Jilin Province of China[20160101247JC]
WOS关键词	AFFINITY PROPAGATION ; MUTUAL-INFORMATION
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000451621000030
资助机构	National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Basic Research Program of China ; National Key Basic Research Program of China ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Basic Research Program of China ; National Key Basic Research Program of China ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Basic Research Program of China ; National Key Basic Research Program of China ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Basic Research Program of China ; National Key Basic Research Program of China ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China
内容类型	期刊论文
源URL	[http://ir.bao.ac.cn/handle/114a11/23609]
专题	中国科学院国家天文台
通讯作者	Yang, Chen; Guan, Renchu
作者单位	1.Jilin Univ, Coll Earth Sci, Changchun 130061, Jilin, Peoples R China 2.Chinese Acad Sci, Lab Moon & Deepspace Explorat, Natl Astron Observ, Beijing 100012, Peoples R China 3.Univ Trento, Dept Informat Engn & Comp Sci, I-38050 Trento, Italy 4.Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China
推荐引用方式 GB/T 7714	Yang, Chen,Bruzzone, Lorenzo,Zhao, Haishi,et al. Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2018,56(12):7230-7245.
APA	Yang, Chen,Bruzzone, Lorenzo,Zhao, Haishi,Tan, Yulei,&Guan, Renchu.(2018).Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,56(12),7230-7245.
MLA	Yang, Chen,et al."Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 56.12(2018):7230-7245.