Volume 37 Issue 9
Sep.  2012
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WANG He, ZHANG Lu, XU Jinyan, LIAO Mingsheng. Evaluation of L-band Polarimetric SAR Images for Urban Land Cover Classification[J]. Geomatics and Information Science of Wuhan University, 2012, 37(9): 1068-1072.
Citation: WANG He, ZHANG Lu, XU Jinyan, LIAO Mingsheng. Evaluation of L-band Polarimetric SAR Images for Urban Land Cover Classification[J]. Geomatics and Information Science of Wuhan University, 2012, 37(9): 1068-1072.
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Evaluation of L-band Polarimetric SAR Images for Urban Land Cover Classification

  • 1 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,129 Luoyu Road,Wuhan 430079,China;2 Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences, 1068 Xueyuan Avenue,Shenzhen 518055,China

Funds: 国家863计划资助项目(2011AA120404);;国家自然科学基金资助项目(41021061,41174120,40701122);;高等学校博士学科点专项科研基金资助项目(20110141110057)
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  • Received Date: June 05, 2012
  • Published Date: September 04, 2012
    Graphical Abstract
    • Abstract
  • Several polarimetric characteristics are extracted from ALOS PALSAR data,containing coherent and non-coherental characteristics.Then,through qualitative and quantitative indicators,their abilities to distinguish five typical urban land covers including artificial features,bare land,farmland,woodland and water are analyzed and compared.The experimental results show that circular polarization correlation coefficient,linear polarization correlation coefficient,total power and XPI are the best set of polarization characteristics to classify these land covers.Classification using such a group of characteristics can achieve an overall accuracy of 75.5% with Kappa being 0.651 1.In addition,we find that artificial features are easier to be distinguished from other land cover types,while bare land and farmland are prone to be mixed up.
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