Views:292Downloads:1830CSCD:0

  • Export

  • Collection

  • Album

    • Constrained NMF-based high-dimension adaptive particle swarm optimization algorithm for endmember extraction from a hyper spectral remote sensing image

      • role：First author第一作者
      • Affiliation：

        School of Geography,South China Normal University

      YANG Bin

      1,
      • Affiliation：

        School of Geography,South China Normal University

      LUO Wenfei

      1
    • Vol. 19, Issue 2, Pages: 240-253(2015)  

    • DOI：10.11834/jrs.20154096    

    Scan QR Code

    Scan QR Code

  • Quote

    Translate The Full Text

  •  
  •  

  • Full Text(HTML)

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >
Alert me when the article has been cited
Submit

Related Articles

Related Author

罗文斐 华南师范大学地理科学学院
钟亮 中国科学院遥感应用研究所
YU Long 中山大学 地理科学与规划学院
ZHUO Li 中山大学 地理科学与规划学院
LI Jun 中国地质大学(武汉) 计算机学院, 智能地学信息处理湖北省重点实验室
DUAN Yilin 中国地质大学(武汉) 计算机学院, 智能地学信息处理湖北省重点实验室
XU Jiajia 安徽农业大学 林学与园林学院;安徽农业大学 安徽省林木资源培育重点实验室
YU Lei 安徽农业大学 林学与园林学院;安徽农业大学 安徽省林木资源培育重点实验室

Related Institution

华南师范大学 地理科学学院
中国科学院遥感应用研究所
School of Geography and Planning, Sun Yat-sen University
Hubei Key Laboratory of Intelligent Geo-Information Processing, School of Computer Science, China University of Geosciences
School of Forestry and Landscape Architecture, Anhui Agricultural University