A COMPARATIVE ANALYSIS OF MUTUAL INFORMATION BASED FEATURE SELECTION FOR HYPERSPECTRAL IMAGE CLASSIFICATION

被引：0
|
作者：
Fu, Yuanyuan [1 ,2 ]
Jia, Xiuping [3 ]
Huang, Wenjiang [4 ]
Wang, Jihua [5 ]
机构：
[1] Zhejiang Univ, Inst Appl Remote Sensing & Informat Technol, Hangzhou 310058, Zhejiang, Peoples R China
[2] Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
[3] Univ New S Wales, Sch Engn & Informat Technol, Canberra, ACT 2600, Australia
[4] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
[5] Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Agr Stand & Testing, Beijing 100097, Peoples R China
来源：
2014 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (CHINASIP) | 2014年
关键词：
feature selection; mutual information; classification; hyperspectral image; SUPPORT VECTOR MACHINES;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Feature selection is an important task for hyperspectral imagery classification and becomes more critical for the emerging big data analysis. Selection criteria based on mutual information theory have the advantages in terms of distribution free, nonlinearity and low computational load for multiclass cases. However several have been developed and are available to use. In this study, we conduct a comparative analysis on four defined criteria and their performances are evaluated using two hyperspectral data sets with two levels of sample sizes.
引用
收藏
页码：148 / 152
页数：5
相关论文
共 50 条
  • [31] Band selection algorithm based on information entropy for hyperspectral image classification
    Xie, Li
    Li, Guangyao
    Peng, Lei
    Chen, Qiaochuan
    Tan, Yunlan
    Xiao, Mang
    JOURNAL OF APPLIED REMOTE SENSING, 2017, 11
  • [32] Class Information-Based Band Selection for Hyperspectral Image Classification
    Song, Meiping
    Shang, Xiaodi
    Wang, Yulei
    Yu, Chunyan
    Chang, Chein-I
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (11): : 8394 - 8416
  • [33] Mutual information based subbband selection for wavelet packet based image classification
    Huang, K
    Aviyente, S
    2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 241 - 244
  • [34] COALITION GAME THEORY BASED FEATURE SUBSET SELECTION FOR HYPERSPECTRAL IMAGE CLASSIFICATION
    Gurram, Prudhvi
    Kwon, Heesung
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 3446 - 3449
  • [35] A SEMISUPERVISED FEATURE METRIC BASED BAND SELECTION METHOD FOR HYPERSPECTRAL IMAGE CLASSIFICATION
    Yang, Chen
    Liu, Sicong
    Bruzzone, Lorenzo
    Guan, Renchu
    Du, Peijun
    2012 4TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING (WHISPERS), 2012,
  • [36] A Feature-Metric-Based Affinity Propagation Technique for Feature Selection in Hyperspectral Image Classification
    Yang, Chen
    Liu, Sicong
    Bruzzone, Lorenzo
    Guan, Renchu
    Du, Peijun
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, 10 (05) : 1152 - 1156
  • [37] Feature selection using mutual information based uncertainty measures for tumor classification
    Sun, Lin
    Xu, Jiucheng
    BIO-MEDICAL MATERIALS AND ENGINEERING, 2014, 24 (01) : 763 - 770
  • [38] An Overview of Methods for Feature Selection Based on Mutual Information for Stream Data Classification
    Wankhade, Kapil
    Rane, Dhiraj
    Thool, Ravindra
    2013 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT 2013), 2013, : 630 - 634
  • [39] Modified Pointwise Mutual Information-Based Feature Selection for Text Classification
    Georgieva-Trifonova, Tsvetanka
    PROCEEDINGS OF THE FUTURE TECHNOLOGIES CONFERENCE (FTC) 2021, VOL 2, 2022, 359 : 333 - 353
  • [40] Mutual information based feature subset selection in multivariate time series classification
    Ircio, Josu
    Lojo, Aizea
    Mori, Usue
    Lozano, Jose A.
    PATTERN RECOGNITION, 2020, 108 (108)
12345