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U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal
GIScience & Remote Sensing ( IF 6.0 ) Pub Date : 2024-03-14 , DOI: 10.1080/15481603.2024.2330185 Qian Zhang 1 , Xiangnan Liu 1 , Tao Peng 1 , Xiao Yang 1 , Mengzhen Tang 1 , Xinyu Zou 2 , Meiling Liu 1 , Ling Wu 1 , Tingwei Zhang 1
GIScience & Remote Sensing ( IF 6.0 ) Pub Date : 2024-03-14 , DOI: 10.1080/15481603.2024.2330185 Qian Zhang 1 , Xiangnan Liu 1 , Tao Peng 1 , Xiao Yang 1 , Mengzhen Tang 1 , Xinyu Zou 2 , Meiling Liu 1 , Ling Wu 1 , Tingwei Zhang 1
Affiliation
Optical remotely sensed time series data have various key applications in Earth surface dynamics. However, cloud cover significantly hampers data analysis and interpretation. Despite synthetic aper...
中文翻译：
U-SeqNet：学习多模态多时云去除的时空映射关系
光学遥感时间序列数据在地球表面动力学中具有各种关键应用。然而，云层覆盖严重阻碍了数据分析和解释。尽管合成阿...
更新日期：2024-03-14
中文翻译：
U-SeqNet：学习多模态多时云去除的时空映射关系
光学遥感时间序列数据在地球表面动力学中具有各种关键应用。然而，云层覆盖严重阻碍了数据分析和解释。尽管合成阿...
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