Technologies and Methodologies | Views : 0 下载量: 429 CSCD: 0
  • Export

  • Share

  • 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.
    • Vol. 29, Issue 6, Pages: 1636-1648(2025)   

      Received:29 May 2024

      Published:07 June 2025

    • DOI: 10.11834/jrs.20254209     

    移动端阅览

  • Sun W D and Han X L. 2025. Computational imaging of high-spatial-resolution hyperspectral remote sensed images: From fusion to spectral super-resolution. National Remote Sensing Bulletin, 29(6):1636-1648 DOI: 10.11834/jrs.20254209.
  •  
  •  
Alert me when the article has been cited
提交

相关作者

SUN Weidong 清华大学 电子工程系
HAN Xiaolin 北京理工大学 机电学院
DONG Wenqian 西安电子科技大学 空天地一体化综合业务网全国重点实验室
WANG Hao 西安电子科技大学 空天地一体化综合业务网全国重点实验室
QU Jiahui 西安电子科技大学 空天地一体化综合业务网全国重点实验室
HOU Shaoxiong 西安电子科技大学 空天地一体化综合业务网全国重点实验室
LI Yunsong 西安电子科技大学 空天地一体化综合业务网全国重点实验室
XU Xiaohong 陕西省气象科学研究所;中国气象局 秦岭和黄土高原生态环境气象重点开放实验室

相关机构

State Key Laboratory of Integrated Services Networks, Xidian University
Meteorological Institute of Shaanxi Province
Key Open Laboratory of Eco-Environment Meteorology for the Qinling Mountains and Loess Plateau, China Meteorological Administration
Center of Weather Modification of Shaanxi Province
School of Remote Sensing and Information Engineering, Wuhan University
0