Relevant vector machine classification of hyperspectral image based on wavelet kernel principal component analysis

被引：0
|
作者：
Zhao, Chun-Hui [1 ]
Zhang, Yi [1 ]
Wang, Yu-Lei [1 ]
机构：
[1] College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2012年 / 34卷 / 08期
关键词：
All Open Access; Hybrid Gold;
D O I：
10.3724/SP.J.1146.2011.01282
中图分类号：
学科分类号：
摘要：
15
引用
收藏
页码：1905 / 1910
相关论文
共 50 条
  • [31] Discrimination of rice panicles by hyperspectral reflectance data based on principal component analysis and support vector classification
    Zhan-yu LIU1
    Journal of Zhejiang University-Science B(Biomedicine & Biotechnology), 2010, 11 (01) : 71 - 78
  • [32] Discrimination of rice panicles by hyperspectral reflectance data based on principal component analysis and support vector classification
    Zhanyu LIU Jingjing SHI Liwen ZHANG Jingfeng HUANG Institute of Agricultural Remote Sensing and Information System Application Zhejiang University Hangzhou China Ministry of Education Key Laboratory of Environmental Remediation and Ecological Health Zhejiang University Hangzhou China Key Laboratory of Agricultural Remote Sensing and Information System in Zhejiang Province Hangzhou China
    Journal of Zhejiang University-Science B(Biomedicine & Biotechnology), 2010, (01) : 71 - 78
  • [33] Discrimination of rice panicles by hyperspectral reflectance data based on principal component analysis and support vector classification
    Zhan-yu Liu
    Jing-jing Shi
    Li-wen Zhang
    Jing-feng Huang
    Journal of Zhejiang University SCIENCE B, 2010, 11 : 71 - 78
  • [34] Discrimination of rice panicles by hyperspectral reflectance data based on principal component analysis and support vector classification
    Liu, Zhan-yu
    Shi, Jing-jing
    Zhang, Li-wen
    Huang, Jing-feng
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B, 2010, 11 (01): : 71 - 78
  • [35] Robust kernel principal component analysis and classification
    Debruyne, Michiel
    Verdonck, Tim
    ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, 2010, 4 (2-3) : 151 - 167
  • [36] Robust kernel principal component analysis and classification
    Michiel Debruyne
    Tim Verdonck
    Advances in Data Analysis and Classification, 2010, 4 : 151 - 167
  • [37] Texture classification with kernel principal component analysis
    Kim, KI
    Jung, K
    Park, SH
    Kim, HJ
    ELECTRONICS LETTERS, 2000, 36 (12) : 1021 - 1022
  • [38] Kernel principal component analysis for texture classification
    Kim, KI
    Park, SH
    Kim, HJ
    IEEE SIGNAL PROCESSING LETTERS, 2001, 8 (02) : 39 - 41
  • [39] Kernel Low-Rank Entropic Component Analysis for Hyperspectral Image Classification
    Bai, Chengzu
    Zhang, Ren
    Xu, Zeshui
    Jin, Baogang
    Chen, Jian
    Zhang, Shuo
    Qian, Longxia
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13 : 5682 - 5693
  • [40] Tool wear prediction based on kernel principal component analysis and least square support vector machine
    Gao, Kangping
    Xu, Xinxin
    Jiao, Shengjie
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (10)
12345