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To Accurately and Lightly Downscale the Temperature Field by Deep Learning
by
Tie, Ruian
,
Shi, Chunxiang
,
Wan, Gang
,
Kang, Lihua
,
Ge, Lingling
Published in
Journal of atmospheric and oceanic technology
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CLDASSD: Reconstructing Fine Textures of the Temperature Field Using Super-Resolution Technology
by
Tie, Ruian
,
Shi, Chunxiang
,
Wan, Gang
,
Hu, Xingjie
,
Kang, Lihua
,
Ge, Lingling
Published in
Advances in atmospheric sciences
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Spatial Downscaling of Near-Surface Air Temperature Based on Deep Learning Cross-Attention Mechanism
by
Shen, Zhanfei
,
Shi, Chunxiang
,
Shen, Runping
,
Tie, Ruian
,
Ge, Lingling
Published in
Remote sensing (Basel, Switzerland)
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Snow Detection in Gaofen-1 Multi-Spectral Images Based on Swin-Transformer and U-Shaped Dual-Branch Encoder Structure Network with Geographic Information
by
Wu, Yue
,
Shi, Chunxiang
,
Shen, Runping
,
Gu, Xiang
,
Tie, Ruian
,
Ge, Lingling
,
Sun, Shuai
Published in
Remote sensing (Basel, Switzerland)
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Enhanced Wind Field Spatial Downscaling Method Using UNET Architecture and Dual Cross-Attention Mechanism
by
Liu, Jieli
,
Shi, Chunxiang
,
Ge, Lingling
,
Tie, Ruian
,
Chen, Xiaojian
,
Zhou, Tao
,
Gu, Xiang
,
Shen, Zhanfei
Published in
Remote sensing (Basel, Switzerland)
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Improve the downscaling accuracy of high-resolution precipitation field using classification mask
by
Tie, Ruian
,
Shi, Chunxiang
,
Li, Meng
,
Gu, Xiang
,
Ge, Lingling
,
Shen, Zhanfei
,
Liu, Jieli
,
Zhou, Tao
,
Chen, Xiaojian
Published in
Atmospheric research
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