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    • FVC-Net: A fusion network for producing fine spatial resolution fractional vegetation cover

    • In the field of vegetation coverage research, experts have proposed a deep learning method based on FVC Net, which effectively solves the problem of temporal missing remote sensing data and provides fine data support for global ecosystem research.
    • Vol. 28, Issue 12, Pages: 3184-3196(2024)   

      Published: 07 December 2024

    • DOI: 10.11834/jrs.20243112     

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  • Zhang Z H,Wang Q M and Ding X Y. 2024. FVC-Net: A fusion network for producing fine spatial resolution fractional vegetation cover. National Remote Sensing Bulletin, 28(12):3184-3196 DOI: 10.11834/jrs.20243112.
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相关作者

ZHANG Zhihao 同济大学 测绘与地理信息学院
WANG Qunming 同济大学 测绘与地理信息学院
DING Xinyu 同济大学 测绘与地理信息学院
Yizheng ZHANG 安徽大学 湿地生态保护与修复安徽省重点实验室
Penghai WU 安徽大学 湿地生态保护与修复安徽省重点实验室;信息材料与智能感知安徽省实验室
Sibo DUAN 中国农业科学院 农业资源与农业区划研究所
Hui YANG 信息材料与智能感知安徽省实验室
Zhixiang YIN 安徽大学 湿地生态保护与修复安徽省重点实验室

相关机构

College of Surveying and Geo-Informatics, Tongji University, Siping Road
Anhui Key Laboratory of Wetland Ecological Protection and Restoration, Anhui University
Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University
Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
State Key Laboratory of Earth Surface Processes and Resource Ecology,College of Resources Science and Technology,Beijing Normal University
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