Volume 33 Issue 3
Mar.  2008
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GONG Yan, SHU Ning. Remote Sensing Image Segmentation Based on Hierarchy Density Analysis[J]. Geomatics and Information Science of Wuhan University, 2008, 33(3): 310-313.
Citation: GONG Yan, SHU Ning. Remote Sensing Image Segmentation Based on Hierarchy Density Analysis[J]. Geomatics and Information Science of Wuhan University, 2008, 33(3): 310-313.
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Remote Sensing Image Segmentation Based on Hierarchy Density Analysis

  • 1School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家973计划资助项目(2006CB701303,2004CB318206)，国家自然科学基金资助项目(40371079)
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  • Received Date: December 27, 2007
  • Revised Date: December 27, 2007
  • Published Date: March 04, 2008
    Graphical Abstract
    • Abstract
  • A measure of density analysis to segmente remote sensing image is presented.Operated against the complexity of remote sensing image spectral space,the new algorithm of HDA(hierarchy density analysis) take a two-step strategy to analyse the feature-space in order to get self-adaptive segmentation,which including grid clustering,parameter estimating and neighbour density analysizing.
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