Independent Component Analysis by Using Joint Cumulants and its Application to Remote Sensing Images

被引：0
作者：
Xiaohui Zhang
C.H. Chen
机构：
[1] University of Massachusetts,Electrical and Computer Engineering Department
来源：
Journal of VLSI signal processing systems for signal, image and video technology | 2004年 / 37卷
关键词：
independent component analysis; joint cumulants; penalty function; gradient descent procedure; synthetic aperture radar images; comparison of algorithms;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, a joint cumulant independent component analysis (JC-ICA) algorithm is presented. It utilizes the higher order joint cumulants to extract independent components and can be implemented efficiently by a neural network. Its application in SAR (synthetic aperture radar) image analysis is presented and a comparison is also made with two other ICA methods. The results show the usage in image analysis and separation. Because the algorithm is based on statistics of order higher than the second, it is suitable also for applications to data with non-Gaussian distributions in blind signal processing.
引用
收藏
页码：293 / 303
页数：10
相关论文
共 50 条
  • [41] CLASSIFICATION OF HUMAN EPITHELIAL TYPE 2 CELL IMAGES USING INDEPENDENT COMPONENT ANALYSIS
    Yang, Yan
    Wiliem, Arnold
    Alavi, Azadeh
    Hobson, Peter
    [J]. 2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013), 2013, : 733 - 737
  • [42] Application of independent component analysis to the IR spectra analysis
    Bi, X
    Li, TH
    Wu, L
    [J]. CHEMICAL JOURNAL OF CHINESE UNIVERSITIES-CHINESE, 2004, 25 (06): : 1023 - 1027
  • [43] An Overview of Independent Component Analysis and Its Applications
    Naik, Ganesh R.
    Kumar, Dinesh K.
    [J]. INFORMATICA-JOURNAL OF COMPUTING AND INFORMATICS, 2011, 35 (01): : 63 - 81
  • [44] A grid application for an evaluation of brain function using independent component analysis (ICA)
    Mizuno-Matsumoto, Y
    Date, S
    Kaishima, T
    Kadobayashi, Y
    Shimojo, S
    [J]. CCGRID 2002: 2ND IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER COMPUTING AND THE GRID, PROCEEDINGS, 2002, : 111 - 118
  • [45] Independent Component Analysis and Its Application to Signal Processing of Two-phase flow
    Li Qiangwei
    [J]. PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 3, 2008, : 248 - 251
  • [46] Independent Component Analysis in Frequency Domain and Its Application in Structural Vibration Signal Separation
    Cao Junhong
    Wei Zhuobin
    [J]. INTERNATIONAL WORKSHOP ON AUTOMOBILE, POWER AND ENERGY ENGINEERING, 2011, 16
  • [47] A filter bank approach to independent component analysis and its application to adaptive noise cancelling
    Park, HM
    Oh, SH
    Lee, SY
    [J]. NEUROCOMPUTING, 2003, 55 (3-4) : 755 - 759
  • [48] Two Dimensional Spatial Independent Component Analysis and Its Application in fMRI Data Process
    陈华富
    尧德中
    [J]. Journal of Electronic Science and Technology of China, 2005, (03) : 231 - 233
  • [49] Independent Component Analysis Applied to Combustion Images in Transparent Engines
    Bizon, Katarzyna
    Continillo, Gaetano
    Lombardi, Simone
    Mancaruso, Ezio
    Sementa, Paolo
    Vaglieco, Bianca Maria
    [J]. INGINERIA AUTOMOBILULUI, 2014, 8 (01): : 7 - 11
  • [50] Blind Images Separation Based on Sparse Independent Component Analysis
    Wang, JingHui
    Zhao, YuanChao
    Chen, DongSheng
    [J]. ADVANCES IN MECHATRONICS, AUTOMATION AND APPLIED INFORMATION TECHNOLOGIES, PTS 1 AND 2, 2014, 846-847 : 929 - +
12345