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LandGPT: a multimodal large language model for parcel-level land use classification with multi-source data

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成果类型:
期刊论文
作者:
Geyuan Zhu;Mi Tang;Yueheng Ma;Zhihui Hu;Chenglong Yu;...
通讯作者:
Yao Yao
作者机构:
[Mi Tang; Yueheng Ma; Zhihui Hu] School of Geography and Information Engineering, China University of Geosciences, Wuhan, Hubei Province, China
LocationMind Institution, LocationMind Inc., Chiyoda, Tokyo, Japan
[Huanjun Hu] School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, China
National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, Hubei province, China
Hitotsubashi Institute for Advanced Study, Hitotsubashi University, Kunitachi, Tokyo, Japan
通讯机构:
[Yao Yao] S
School of Geography and Information Engineering, China University of Geosciences, Wuhan, Hubei Province, China<&wdkj&>LocationMind Institution, LocationMind Inc., Chiyoda, Tokyo, Japan<&wdkj&>National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, Hubei province, China<&wdkj&>Hitotsubashi Institute for Advanced Study, Hitotsubashi University, Kunitachi, Tokyo, Japan<&wdkj&>Faculty of Engineering, Reitaku University, Kashiwa, Chiba, Japan<&wdkj&>Ministry of Land and Resources of China, Key Laboratory of Urban Land Resources Monitoring and Simulation, Shenzhen, China
语种:
英文
关键词:
Land-use classification;LandGPT;LLM tuning;prompt engineering;multi-source geospatial data
期刊:
International Journal of Geographical Information Science
ISSN:
1365-8816
年:
2025
基金类别:
Funding
机构署名:
本校为其他机构
院系归属:
数学与计算机学院
摘要:
Actual land parcels vary significantly in size and complexity. Previous studies were limited by existing technical methods for fine-grained land use classification. The emergence of multimodal large language models offers new techniques for image classification, but their application in land use classification remains unexplored. This study presents LandGPT, a multimodal large language model trained on the CN-MSLU-100K dataset, covering fine-grained land use classification of irregular parcels. This study proposes a trans-level discrimination f...

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