Volume 31 Issue 3
Mar.  2006
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ZHAO Yindi, ZHANG Liangpei, LI Pingxiang. A Texture Classification Algorithm Based on Feature Fusion[J]. Geomatics and Information Science of Wuhan University, 2006, 31(3): 278-281.
Citation: ZHAO Yindi, ZHANG Liangpei, LI Pingxiang. A Texture Classification Algorithm Based on Feature Fusion[J]. Geomatics and Information Science of Wuhan University, 2006, 31(3): 278-281.
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A Texture Classification Algorithm Based on Feature Fusion

  • 1 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家973计划资助项目(2003CB415205);国家自然科学基金资助项目(40471088405230051)
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  • Received Date: December 30, 2005
  • Revised Date: December 30, 2005
  • Published Date: March 04, 2006
    Graphical Abstract
    • Abstract
  • A feasible texture classification algorithm is proposed based on Gabor/MRF feature fusion.The performance of the algorithm is investigated with Brodatz and QuickBird images.The fused Gabor/MRF features can provide higher classification accuracy than either Gabor or MRF features alone.The experimental results indicate that the proposed algorithm is stable,reliable and efficient.
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