Research on the Spatial Data Intelligent Foundation Model
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arXiv
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866914926428160000 |
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| author | Wang, Shaohua Xie, Xing Li, Yong Guo, Danhuai Cai, Zhi Liu, Yu Yue, Yang Pan, Xiao Lu, Feng Wu, Huayi Gui, Zhipeng Ding, Zhiming Zheng, Bolong Zhang, Fuzheng Wang, Jingyuan Chen, Zhengchao Lu, Hao Li, Jiayi Yue, Peng Yu, Wenhao Yao, Yao Sun, Leilei Zhang, Yong Chen, Longbiao Du, Xiaoping Li, Xiang Zhang, Xueying Qin, Kun Gong, Zhaoya Dong, Weihua Meng, Xiaofeng |
| author_facet | Wang, Shaohua Xie, Xing Li, Yong Guo, Danhuai Cai, Zhi Liu, Yu Yue, Yang Pan, Xiao Lu, Feng Wu, Huayi Gui, Zhipeng Ding, Zhiming Zheng, Bolong Zhang, Fuzheng Wang, Jingyuan Chen, Zhengchao Lu, Hao Li, Jiayi Yue, Peng Yu, Wenhao Yao, Yao Sun, Leilei Zhang, Yong Chen, Longbiao Du, Xiaoping Li, Xiang Zhang, Xueying Qin, Kun Gong, Zhaoya Dong, Weihua Meng, Xiaofeng |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_19730 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Research on the Spatial Data Intelligent Foundation Model Wang, Shaohua Xie, Xing Li, Yong Guo, Danhuai Cai, Zhi Liu, Yu Yue, Yang Pan, Xiao Lu, Feng Wu, Huayi Gui, Zhipeng Ding, Zhiming Zheng, Bolong Zhang, Fuzheng Wang, Jingyuan Chen, Zhengchao Lu, Hao Li, Jiayi Yue, Peng Yu, Wenhao Yao, Yao Sun, Leilei Zhang, Yong Chen, Longbiao Du, Xiaoping Li, Xiang Zhang, Xueying Qin, Kun Gong, Zhaoya Dong, Weihua Meng, Xiaofeng Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning 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. |
| title | Research on the Spatial Data Intelligent Foundation Model |
| topic | Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning |
| url | https://arxiv.org/abs/2405.19730 |