Paper ID: 2405.19730

Research on the Spatial Data Intelligent Foundation Model

Shaohua Wang (1), Xing Xie (2), Yong Li (3), Danhuai Guo (4), Zhi Cai (5), Yu Liu (6), Yang Yue (7), Xiao Pan (8), Feng Lu (9), Huayi Wu (10), Zhipeng Gui (10), Zhiming Ding (11), Bolong Zheng (12), Fuzheng Zhang (13), Jingyuan Wang (14), Zhengchao Chen (1), Hao Lu (15), Jiayi Li (10), Peng Yue (10), Wenhao Yu (16), Yao Yao (16), Leilei Sun (14), Yong Zhang (5), Longbiao Chen (17), Xiaoping Du (18), Xiang Li (19), Xueying Zhang (20), Kun Qin (10), Zhaoya Gong (6), Weihua Dong (21), Xiaofeng Meng (22) ((1) State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, (2) Microsoft Research Asia, (3) Tsinghua University, (4) Beijing University of Chemical Technology, (5) Beijing University of Technology, (6) Peking University, (7) Shenzhen University, (8) Shijiazhuang Railway University, (9) Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, (10) Wuhan University, (11) Research Institute of Software, Chinese Academy of Sciences, (12) Huazhong University of Science and Technology, (13) Fast Natural Language Processing Center and Audio Center, (14) Beihang University, (15) SuperMap Software Co. Ltd, (16) China University of Geosciences (Wuhan), (17) Xiamen University, (18) Key Laboratory of Digital Geography, Chinese Academy of Sciences, (19) East China Normal University, (20) Nanjing Normal University, (21) Beijing Normal University, (22) Renmin University of China)

This report focuses on spatial data intelligent large models, delving into the principles, methods, and cutting-edge applications of these models. It provides an in-depth discussion on the definition, development history, current status, and trends of spatial data intelligent large models, as well as the challenges they face. The report systematically elucidates the key technologies of spatial data intelligent large models and their applications in urban environments, aerospace remote sensing, geography, transportation, and other scenarios. Additionally, it summarizes the latest application cases of spatial data intelligent large models in themes such as urban development, multimodal systems, remote sensing, smart transportation, and resource environments. Finally, the report concludes with an overview and outlook on the development prospects of spatial data intelligent large models.

Submitted: May 30, 2024