Review | Views : 0 下载量: 759 CSCD: 2
  • Export

  • Share

  • Collection

  • Album

    • Dimensionality reduction for hyperspectral remote sensing: Advances, challenges, and prospects

    • Vol. 26, Issue 8, Pages: 1504-1529(2022)   
    • DOI: 10.11834/jrs.20210354     

    扫 描 看 全 文

  • Hongjun SU. Dimensionality reduction for hyperspectral remote sensing: Advances, challenges, and prospects. [J]. National Remote Sensing Bulletin 26(8):1504-1529(2022) DOI: 10.11834/jrs.20210354.
Alert me when the article has been cited
提交

相关作者

暂无数据

相关机构

State Key Laboratory of Remote Sensing, Faculty of Geographical Science, Beijing Normal University
Beijing Engineering Research Center for Global Land Remote Sensing Products, Beijing Normal University
Aerospace Information Research Institute, Chinese Academy of Sciences
Land Satellite Remote Sensing Application Center, Ministry of Natural Resource of the People's Republic of China
School of earth science and engineering, Hohai University
0