Technologies and Methodologies | Views:1693Downloads:2708CSCD:0
  • Export

  • Collection

  • Album

    • Computational imaging of high-spatial-resolution hyperspectral remote sensed images: From fusion to spectral super-resolution

    • In the field of remote sensing images, experts have built a unified model for computing and imaging high resolution hyperspectral images based on prior information, which provides an effective way to break through the physical limitations of optical remote sensing imaging systems.
      • role:First author第一作者
      • Affiliation:

        Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

      • Email:wdsun@tsinghua.edu.cn
      • Introduction:孙卫东,研究方向为空间信息处理与应用、图像处理、模式识别。E-mail: wdsun@tsinghua.edu.cn

      SUN Weidong

      1,
      • role:Corresponding author通信作者
      • Affiliation:

        School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China

      • Email:hxl@bit.edu.cn
      • Introduction:韩晓琳,研究方向为遥感图像处理、模式识别、字典学习与深度学习。E-mail: hxl@bit.edu.cn

      HAN Xiaolin

      2 *
    • Vol. 29, Issue 6, Pages: 1636-1648(2025)  
    • DOI:10.11834/jrs.20254209    

    Scan QR Code

    Scan QR Code

  • Quote

    Translate The Full Text

  •  
  •  
  • AI Introduction

  • Full Text(HTML)

  • Figs( 1 ) Tabs( 0 )

  • References

  • Publication Info

  • Metrics

Alert me when the article has been cited
Submit

Related Author

SUN Weidong 清华大学 电子工程系
HAN Xiaolin 北京理工大学 机电学院
CHEN Rui 西南交通大学 地球科学与工程学院
XIE Jiangliu 西南交通大学 地球科学与工程学院
YANG Yajie 西南交通大学 地球科学与工程学院
MA Dujuan 西南交通大学 地球科学与工程学院
ZHANG Guodong 西南交通大学 地球科学与工程学院
WANG Meilian 西南交通大学 地球科学与工程学院

Related Institution

Faculty of Geosciences and Engineering, Southwest Jiaotong University
Advanced Interdisciplinary Institute of Satellite Applications/State Key Laboratory of Earth Surface Process and Disaster Risk Reduction, Beijing Normal University
Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment
Key Laboratory of Satellite Remote Sensing,Ministry of Ecology and Environment
State Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences