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    • Cloud removal in multitemporal remote sensing imagery combining U-Net and spatiotemporal generative networks

    • In the field of optical remote sensing image processing, experts have proposed a two-stage cloud removal algorithm based on multi temporal images, which effectively restores ground areas obscured by clouds and provides a solution for further utilization of remote sensing images.
    • Vol. 28, Issue 8, Pages: 2089-2100(2024)   

      Received:23 May 2022

      Published:07 August 2024

    • DOI: 10.11834/jrs.20232255     

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  • Wang Z, Ma J, Guo Y, Zhou C J, Bai B and Li F. 2024. Cloud removal in multitemporal remote sensing imagery combining U-Net and spatiotemporal generative networks. National Remote Sensing Bulletin, 28(8):2089-2100 DOI: 10.11834/jrs.20232255.
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相关作者

MA Jun 河南大学 软件学院
GUO Yi 澳大利亚西悉尼大学
ZHOU Chuanjie 北京市遥感信息研究所
BAI Bin 北京市遥感信息研究所
SONG Baogui 三峡大学 水电工程智能视觉监测湖北省重点实验室;三峡大学 计算机与信息学院;三峡大学 先进计算中心
SHAO Pan 三峡大学 水电工程智能视觉监测湖北省重点实验室;三峡大学 计算机与信息学院;三峡大学 先进计算中心
SHAO Wen 三峡大学 水电工程智能视觉监测湖北省重点实验室;三峡大学 计算机与信息学院;三峡大学 先进计算中心
ZHANG Xiaodong 武汉大学 测绘遥感信息工程国家重点实验室

相关机构

Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University
College of Computer and Information Technology, China Three Gorges University
State Key Laboratory of Remote Sensing Information Engineering for Surveying and Mapping, Wuhan University
Advanced Computing Center, China Three Gorges University
School of Computer Science, Nanjing University of Posts and Telecommunications
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