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Unleashing the potential of remote sensing foundation models via bridging data and computility islands
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作者 Yansheng Li Jieyi Tan +13 位作者 Bo Dang Mang Ye Sergey A.Bartalev Stanislav Shinkarenko Linlin Wang Yingying Zhang Lixiang Ru Xin Guo Liangqi Yuan Lei Yu Jingdong Chen Ming Yang JoséMarcato Junior Yongjun Zhang 《The Innovation》 2025年第6期13-14,共2页
DATA AND COMPUTILITY ISLANDS IN REMOTE SENSING FOR EO The rapid advancement of Earth observation(EO)capabilities is driving an explosive increase in remote sensing data.There is an urgent need for advanced processing ... DATA AND COMPUTILITY ISLANDS IN REMOTE SENSING FOR EO The rapid advancement of Earth observation(EO)capabilities is driving an explosive increase in remote sensing data.There is an urgent need for advanced processing techniques to unleash their application value.1 Generalist EO intelligence refers to the ability to provide unified support for qualitative interpretation,quantitative inversion,and interactive dialogue across diverse EO data and tasks.It has attracted significant attention recently,prompting academia,industry,and government to invest substantial resources.2 Through developing remote sensing foundation models(RSFMs),generalist EO intelligence can ultimately offer humanity a shared spatial-temporal intelligence service in various fields(e.g.,agriculture,forestry,and oceanography).3 However,a critical question remains:have we truly unleashed the potential of RSFMs for generalist EO intelligence?Despite the vast volume of remote sensing data,their distribution is often fragmented and decentralized due to privacy concerns,storage bottlenecks,industrial competition,and geo-information security.This fragmentation leads to data islands,which limit the full utilization of multi-source remote sensing data.Moreover,computility(i.e.,computational resources)typically develops in isolation,inadequately supporting the large-scale training and application of RSFMs. 展开更多
关键词 computility islands unified support earth observation eo capabilities advanced processing techniques interactive dialogue remote sensing foundation models data islands
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Preface
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作者 Xiao-Wei Li Xiao-Fei Liao 《Journal of Computer Science & Technology》 2025年第3期605-606,共2页
CCF Computility is established as a premier platform for industry professionals,academic scholars,and researchers to exchange innovative ideas,methodologies,and technological advancements in the field of distributed c... CCF Computility is established as a premier platform for industry professionals,academic scholars,and researchers to exchange innovative ideas,methodologies,and technological advancements in the field of distributed computing systems.Formerly known as the CCF(China Computer Federation)Annual Conference on Distributed and Parallel Computing Systems(CCF DPCS),CCF Computility has evolved to better address the rapidly growing importance of computility(算力)a new dimension of productive capacity that is driving transformative development across multiple sectors. 展开更多
关键词 distributed computing systems productive capacity technological advancements parallel computing systems distributed computing systemsformerly computility distributed parallel computing systems ccf dpcs ccf computility innovative ideas
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