U-SeqNet：学习时空映射关系，实现多模态多时空云清除

IF 6 2区地球科学 Q1 GEOGRAPHY, PHYSICAL

GIScience & Remote Sensing Pub Date : 2024-03-14 DOI:10.1080/15481603.2024.2330185

Qian Zhang, Xiangnan Liu, Tao Peng, Xiao Yang, Mengzhen Tang, Xinyu Zou, Meiling Liu, Ling Wu, Tingwei Zhang

引用次数: 0

摘要

光学遥感时间序列数据在地球表面动力学方面有多种重要应用。然而，云层严重阻碍了数据分析和解释。尽管合成孔径雷达（AP）和云图（CM）的应用已经取得了很大的进展，但云层覆盖仍然是数据分析和解释的障碍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal

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...

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来源期刊

GIScience & Remote Sensing 地学-遥感

CiteScore

11.20

自引率

9.00%

发文量

审稿时长

6 months

期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.