Research on the Spatial Data Intelligent Foundation Model
Abstrak
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.
Topik & Kata Kunci
Penulis (57)
Shaohua Wang
Xingyou Xie
Yong Li
Danhuai Guo
Zhi-Ming Cai
Yu Liu
Yang Yue
Xiao Pan
Feng Lu
Huayi Wu
Zhipeng Gui
Zhiming Ding
Bolong Zheng
Fuzheng Zhang
Jingyuan Wang
Zhengchao Chen
Hao Lu
Jiayi Li
Peng Yue
Wenhao Yu
Yao Yao
Leilei Sun
Yong Zhang
Longbiao Chen
Xiao-fei Du
Xiang Li
Xueying Zhang
Kun Qin
Zhaoya Gong
Weihua Dong
X. M. S. K. L. O. R. S. Science
Aerospace Information Research Institute
Chinese Academy of Sciences
Microsoft Research Asia
Tsinghua University
Beijing University of Technology
Beijing University of Technology
P. University
S. University
Shijiazhuang Railway University
Institute of Space Sciences
Natural Resources Research
Wuhan University
Research Institute of Software
Huazhong University of Science
Technology
Fast Natural Language Processing Center
Audio Center
B. University
SuperMap Software Co. Ltd
China University of Geosciences
Xiamen University
Key Laboratory of Digital Geography
East China Normal University
N. University
Beijing Normal University
Renmin University of China
Akses Cepat
PDF tidak tersedia langsung
Cek di sumber asli →- Tahun Terbit
- 2024
- Bahasa
- en
- Total Sitasi
- 4×
- Sumber Database
- Semantic Scholar
- Akses
- Open Access ✓