Volume 35 Issue 3
Mar.  2010
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SHEN Zhanfeng, LUO Jiancheng, HU Xiaodong, SUN Weigang. A Mean Shift Multi-scale Segmentation for High-Resolution Remote Sensing Images[J]. Geomatics and Information Science of Wuhan University, 2010, 35(3): 313-317.
Citation: SHEN Zhanfeng, LUO Jiancheng, HU Xiaodong, SUN Weigang. A Mean Shift Multi-scale Segmentation for High-Resolution Remote Sensing Images[J]. Geomatics and Information Science of Wuhan University, 2010, 35(3): 313-317.
shu

A Mean Shift Multi-scale Segmentation for High-Resolution Remote Sensing Images

  • 1Institute of Remote Sensing Applications,Chinese Academy of Sciences,A3 Datun Road,Beijing 100101,China;2The First Oil Production Plant of Dagang Oil Field Petrochina,Dagang Oil Field,Tianjin 300280,China

Funds: 国家863计划资助项目(2009AA12Z123,2007AA12Z141)；国家“十一五”科技支撑计划重大资助项目(2006BAJ02A01,2006BAJ14B08)；国家自然科学基金资助项目(40601057,40871203)
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  • Received Date: January 18, 2009
  • Revised Date: January 18, 2009
  • Published Date: March 04, 2010
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  • Remote sensing image segmentation is an important procedure of object-oriented information extraction of high-resolution.The mean shift segmentation algorithm has been applied to many segmentation procedures since it has good effects and perfect efficiencies.Firstly,we give the principle of mean shift segmentation.Then,we present the method to improve the segmentation algorithm and implement a multi-scale segmentation.Finally,the algorithm was evaluated on the basis of experimental comparison and analysis.The results confirm feasibilities of the mean shift segmentation algorithm.
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