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Unleashing the potential of remote sensing foundation models via bridging data and computility islands.

作者信息

Li Yansheng, Tan Jieyi, Dang Bo, Ye Mang, Bartalev Sergey A, Shinkarenko Stanislav, Wang Linlin, Zhang Yingying, Ru Lixiang, Guo Xin, Yuan Liangqi, Yu Lei, Chen Jingdong, Yang Ming, Junior José Marcato, Zhang Yongjun

机构信息

School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.

School of Computer Science, Wuhan University, Wuhan 430072, China.

出版信息

Innovation (Camb). 2025 Feb 19;6(6):100841. doi: 10.1016/j.xinn.2025.100841. eCollection 2025 Jun 2.

DOI:10.1016/j.xinn.2025.100841
PMID:40528890
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12169302/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba93/12169302/308ec13a23a7/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba93/12169302/308ec13a23a7/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba93/12169302/308ec13a23a7/gr1.jpg

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本文引用的文献

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Artificial intelligence for geoscience: Progress, challenges, and perspectives.地球科学中的人工智能：进展、挑战与展望。
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Artificial intelligence for science-bridging data to wisdom.用于科学的人工智能——将数据转化为智慧。
Innovation (Camb). 2023 Oct 18;4(6):100525. doi: 10.1016/j.xinn.2023.100525. eCollection 2023 Nov 13.
3
AI-enhanced spatial-temporal data-mining technology: New chance for next-generation urban computing.
人工智能增强的时空数据挖掘技术：下一代城市计算的新机遇。
Innovation (Camb). 2023 Feb 21;4(2):100405. doi: 10.1016/j.xinn.2023.100405. eCollection 2023 Mar 13.