您当前的位置:
首页 >
文章列表页 >
A target recognition method of high resolution remote sensing images based on joint matrix low rank approximation and sparse representation
更新时间:2025-09-01
    • A target recognition method of high resolution remote sensing images based on joint matrix low rank approximation and sparse representation

    • Vol. 44, Issue 3, Pages: 291-299(2018)
    • DOI:10.13741/j.cnki.11-1879/o4.2018.03.007    

      CLC:
    • Published:2018

    移动端阅览

  • A target recognition method of high resolution remote sensing images based on joint matrix low rank approximation and sparse representation[J]. 2018, 44(3): 291-299. DOI: 10.13741/j.cnki.11-1879/o4.2018.03.007.

  •  
  •  
icon
试读结束,您可以激活您的VIP账号继续阅读。
去激活 >
icon
试读结束,您可以通过登录账户,到个人中心,购买VIP会员阅读全文。
已是VIP会员?
去登录 >

0

Views

200

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Multi-source image fusion based on discriminative dictionary learning and morphological component decomposition
Low rank sparse decomposition and the salience measure of medical image fusion
Detection and recognition method of power phase sign
Target recognition algorithm for mobile robot
Objects recognition based on the multi-angle polarization D-value curve

Related Author

王一棠
张亚飞
李华锋
邓志华
何思远
蔺蘭
李文涛
唐延东

Related Institution

1:昆明理工大学信息工程与自动化学院
3:沈阳工程学院自动化学院
2:中国科学院大学
1:中国科学院沈阳自动化研究所机器人学国家重点实验室
2:上海现代光学系统重点实验室
0