OPT OpenIR  > 光学影像学习与分析中心
Extreme-constrained spatial-spectral corner detector for image-level hyperspectral image classification
Li, Yanshan1,2,6; Xu, Jianjie1; Xia, Rongjie1; Huang, Qinghua1,3,4; Xie, Weixin1; Li, Xuelong5; Huang, QH (reprint author), Shenzhen Univ, Coll Informat Engn, ATR Natl Key Lab Def Technol, Shenzhen 518060, Peoples R China.
Department光学影像学习与分析中心
2018-07-15
Source PublicationPATTERN RECOGNITION LETTERS
ISSN0167-8655
Volume109Pages:110-119
Contribution Rank4
Abstract

As one type of local invariant feature, corner feature plays an important role in diverse applications such as: video mining, target detection, image classification, image retrieval, and image matching, etc. However, there are few studies on corner feature for hyperspectral image (HSI). Therefore, this paper proposes a novel corner feature for HSI named extreme-constrained spatial-spectral corner (ECSSC for short) and its corresponding detector. The definition of ECSSC is developed based on the definition of spectral-spatial interest point and the characteristic of HSI. Based on this definition, the detector of ECSSC is put forward and introduced in detail. Then, as an important application of ECSSC, an efficient framework for image-level HSI classification is designed based on ECSSC and parallel computation. The experimental results show that the proposed algorithm can detect abundant corner features with high repeatability rate from HSI and the accuracy of image-level HSI based on ECSSC is dramatically higher than that of the state of the art.

SubtypeArticle
Subject AreaComputer Science, Artificial Intelligence
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.patrec.2018.03.022
Indexed BySCI ; EI
WOS KeywordFace Recognition ; Feature-extraction ; Model ; Information ; Saturation ; Regression ; Kernels ; Quality
Language英语
WOS Research AreaComputer Science
Funding OrganizationNational Natural Science Foundation of China(61771319 ; Natural Science Foundation of Guangdong Province(2017A030313343 ; Shenzhen Science and Technology Project(JCYJ20160520173822387 ; Project of Science and Technology Department of Guangdong Province(2014A050503020 ; Science and Technology Program of Guangzhou(201704020134) ; 61372007 ; 2017A030312006) ; JCYJ20160307143441261) ; 2016A010101021 ; 61571193) ; 2016A010101022 ; 2016A010101023)
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000434380800015
EI Accession Number20182005197426
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30342
Collection光学影像学习与分析中心
Corresponding AuthorHuang, QH (reprint author), Shenzhen Univ, Coll Informat Engn, ATR Natl Key Lab Def Technol, Shenzhen 518060, Peoples R China.
Affiliation1.Shenzhen Univ, Coll Informat Engn, ATR Natl Key Lab Def Technol, Shenzhen 518060, Peoples R China
2.China Three Gorges Univ, Hubei Key Lab Intelligent Vis Based Monitoring Hy, Yichang 443002, Peoples R China
3.Northwestern Polytech Univ, Sch Mech Engn, Xian 710072, Shaanxi, Peoples R China
4.Northwestern Polytech Univ, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710072, Shaanxi, Peoples R China
5.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China
6.Shenzhen Univ, Coll Informat Engn, Guangdong Key Lab Intelligent Informat Proc, Shenzhen, Peoples R China
Recommended Citation
GB/T 7714
Li, Yanshan,Xu, Jianjie,Xia, Rongjie,et al. Extreme-constrained spatial-spectral corner detector for image-level hyperspectral image classification[J]. PATTERN RECOGNITION LETTERS,2018,109:110-119.
APA Li, Yanshan.,Xu, Jianjie.,Xia, Rongjie.,Huang, Qinghua.,Xie, Weixin.,...&Huang, QH .(2018).Extreme-constrained spatial-spectral corner detector for image-level hyperspectral image classification.PATTERN RECOGNITION LETTERS,109,110-119.
MLA Li, Yanshan,et al."Extreme-constrained spatial-spectral corner detector for image-level hyperspectral image classification".PATTERN RECOGNITION LETTERS 109(2018):110-119.
Files in This Item:
File Name/Size DocType Version Access License
Extreme-constrained (2306KB)期刊论文作者接受稿限制开放CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Yanshan]'s Articles
[Xu, Jianjie]'s Articles
[Xia, Rongjie]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Yanshan]'s Articles
[Xu, Jianjie]'s Articles
[Xia, Rongjie]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Yanshan]'s Articles
[Xu, Jianjie]'s Articles
[Xia, Rongjie]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.