Volume 38 Issue 2
Feb.  2013
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SHAO Zhenfeng, ZHOU Xiran, LIU Jun. QaR Tree Method for Optimal Image Particle Decomposing[J]. Geomatics and Information Science of Wuhan University, 2013, 38(2): 204-207.
Citation: SHAO Zhenfeng, ZHOU Xiran, LIU Jun. QaR Tree Method for Optimal Image Particle Decomposing[J]. Geomatics and Information Science of Wuhan University, 2013, 38(2): 204-207.
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QaR Tree Method for Optimal Image Particle Decomposing

  • 1 Department of Electronics and Informaition Engineering, National Laboratory for Optoelectronics, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China;

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

  • 3 Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 85 Jinyu Avenue, Chongqing 401122, China

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  • Received Date: December 07, 2012
  • Published Date: February 04, 2013
    Graphical Abstract
    • Abstract
  • The novel definition of image particle is proposed firstly.Then procedure of image particle decomposing is accomplished via QaR tree.Finally,the optimal comparative evaluation from QaR tree to other classic algorithms is given.Experimental results reveal that on the basis of accuracy and redundancy,QaR tree method holds better effects than other existing methods,and its results are closer to local image regions consisting of image space and image data.
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