Artificial Intelligence Empowers Earth-Moon Space Perception | Views : 0 下载量: 101 CSCD: 0
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    • Adaptive multi-scale super-resolution reconstruction for lunar images captured by a narrow-angle camera

    • In the field of lunar scientific exploration, experts have proposed a multi-scale super-resolution model MSRT, which effectively restores the fine topography of lunar NAC images and provides high-quality data support for geological analysis and landing area assessment.
    • Vol. 30, Issue 9, Pages: 3050-3065(2025)   

      Received:27 March 2025

      Revised:2025-05-23

      Published:16 September 2025

    • DOI: 10.11834/jig.250126     

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  • Miao Dingruibo, Yan Jianguo, Tu Zhigang, Barriot Jean-Pierre. 2025. Adaptive multi-scale super-resolution reconstruction for lunar images captured by a narrow-angle camera. Journal of Image and Graphics, 30(9):3050-3065 DOI: 10.11834/jig.250126.
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相关作者

Miao Dingruibo 武汉大学测绘遥感信息工程全国重点实验室
Yan Jianguo 武汉大学测绘遥感信息工程全国重点实验室
Tu Zhigang 武汉大学测绘遥感信息工程全国重点实验室
Barriot Jean-Pierre 武汉大学测绘遥感信息工程全国重点实验室;塔希提大地测量天文台, 塔希提
Bi Xiuping 武汉大学计算机学院国家多媒体软件工程技术研究中心
Chen Shi 武汉大学计算机学院国家多媒体软件工程技术研究中心
Zhang Lefei 武汉大学计算机学院国家多媒体软件工程技术研究中心;湖北珞珈实验室
Hu Zhangying 南京邮电大学通信与信息工程学院

相关机构

State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing
the Geodesy Observatory of Tahiti, Tahiti 98732,French
National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University
Hubei Luojia Laboratory
School of communication and information engineering, Nanjing University of Posts and Telecommunications
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