首页> 中文期刊> 《结构与土木工程前沿:英文版》 >Optimized extreme learning machine for urban land cover classification using hyperspectral imagery

Optimized extreme learning machine for urban land cover classification using hyperspectral imagery

         

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  • 来源
    《结构与土木工程前沿:英文版》 |2017年第4期|P.765-773|共9页
  • 作者单位

    [1]School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China;

    [2]School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China;

    [1]School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China;

    [3]Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China;

    [4]Key Laboratory of Virtual Geographic Environment (Ministry of Education), Nanjing Normal University, Nanjing 210023, China;

    [5]Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080-3021, USA;

    [5]Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080-3021, USA;

  • 原文格式 PDF
  • 正文语种 CHI
  • 中图分类 tu0;
  • 关键词

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