Volume 33 Issue 9
Sep.  2008
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XU Honggen, MA Hongchao, SONG Yan, JIA Xiaoxia. A Remote Sensing Image Classification Method Based on Generalized Gaussian Mixture Model[J]. Geomatics and Information Science of Wuhan University, 2008, 33(9): 959-962.
Citation: XU Honggen, MA Hongchao, SONG Yan, JIA Xiaoxia. A Remote Sensing Image Classification Method Based on Generalized Gaussian Mixture Model[J]. Geomatics and Information Science of Wuhan University, 2008, 33(9): 959-962.
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A Remote Sensing Image Classification Method Based on Generalized Gaussian Mixture Model

  • 1School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China;2Wuhan Geotechnical Engineering and Surveying Institute,209 Wansongyuan Road,Wuhan 430022,China

Funds: 国家“十一五”国防基础科研资助项目(A1420060213)
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  • Received Date: July 12, 2008
  • Revised Date: July 12, 2008
  • Published Date: September 04, 2008
    Graphical Abstract
    • Abstract
  • Generalized Gaussian mixture model(GGMM) is used to classify remote sensing images.The experimental results show that the method can obtain higher accuracy than maximum likelihood classification,and obtain more structure details than eCognition on some scales.
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