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    • Revegetation Detection Method for Rare Earth Mining Areas Using YOLOv8n Network with Integrated Global Features

    • In the field of ecological restoration in rare earth mining areas, experts have proposed the YOLOv8-AS detection method, which effectively improves the identification and localization ability of single plants in reclaimed vegetation and provides technical support for ecological restoration in mining areas.
    • Pages: 1-14(2024)   

      Published Online:13 December 2024

    • DOI: 10.11834/jrs.20244338     

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  • LI Xingmei,LI Hengkai,LIU Kunming,WANG Xiuli. XXXX. Revegetation Detection Method for Rare Earth Mining Areas Using YOLOv8n Network with Integrated Global Features. National Remote Sensing Bulletin, XX(XX):1-14 DOI: 10.11834/jrs.20244338.
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相关作者

FANG Tingting 中国科学技术大学 网络空间安全学院;中国科学院电磁空间信息重点实验室
LIU Bin 中国科学技术大学 网络空间安全学院;中国科学院电磁空间信息重点实验室
CHEN Chunhui 安徽省基础测绘信息中心;自然资源部江淮耕地资源保护与生态修复重点实验室
LI Xiangyun 安徽省基础测绘信息中心;自然资源部江淮耕地资源保护与生态修复重点实验室
XU Danqing 南京航空航天大学 电子信息工程学院
WU Yiquan 南京航空航天大学 电子信息工程学院
WANG Haifeng 云南师范大学 信息学院;云南师范大学 人工智能和模式识别实验室
ZHOU Chengjiang 云南师范大学 信息学院;云南师范大学 人工智能和模式识别实验室

相关机构

School of Cyber Science and Technology, University of Science and Technology of China
Key Laboratory of Electromagnetic Space Information, Chinese Academy of Science
Anhui Provincial Geomatic Center
Key Laboratory of JiangHuai Arable Land Resources Protection and Eco-restoration
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics
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