Agricultural Remote Sensing | Views:1754Downloads:2409CSCD:9
  • Export

  • Collection

  • Album

    • Applicability of weak samples to deep learning crop classification

      • role:First author第一作者
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China

        Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      • Email:201821051191@mail.bnu.edu.cn
      • Introduction:许晴,研究方向为农业遥感。E-mail: 201821051191@mail.bnu.edu.cn

      XU Qing

      ,
      • role:Corresponding author通信作者
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China

        Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      • Email:zhangjs@bnu.edu.cn
      • Introduction:张锦水,研究方向为农业遥感。E-mail: zhangjs@bnu.edu.cn

      ZHANG Jinshui

      * ,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China

        Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      ZHANG Feng

      ,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China

        Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      GE Shuang

      ,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China

        Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      YANG Zhi

      ,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China

        Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      DUAN Yaming

    • Vol. 26, Issue 7, Pages: 1395-1409(2022)  
    • DOI:10.11834/jrs.20221127    

    Scan QR Code

    Scan QR Code

  • Quote

    Translate The Full Text

  •  
  •  
  • Full Text(HTML)

  • Figs( 41 ) Tabs( 2 )

  • References

  • 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 Author

DONG Yuqing 南京信息工程大学 遥感与测绘工程学院
LIU Dongsheng 南京信息工程大学 遥感与测绘工程学院
ZHOU Xinxin 南京邮电大学 地理与生物信息学院
Lyu Hongchen 北京超图软件股份有限公司
LIN Fenfang 南京信息工程大学 遥感与测绘工程学院
HUANG Zhiming 南京信息工程大学 遥感与测绘工程学院
JI Dali 中国矿业大学 自然资源部国土环境与灾害监测重点实验室;中国矿业大学 江苏省资源环境信息工程重点实验室
WANG Yongbo 中国矿业大学 自然资源部国土环境与灾害监测重点实验室;中国矿业大学 江苏省资源环境信息工程重点实验室

Related Institution

School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology
School of Geography and Bioinformatics, Nanjing University of Posts and Telecommunications
Beijing Supermap Software Co., Ltd.
Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology
Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology