TH3.P5.2
MSLU-100K: A Large Multi-Source Dataset for Land Use Analysis in Major Chinese Cities
Yueheng Ma, Yao Yao, China University of Geosciences, China
Session:
TH3.P5: Data-centric Artificial Intelligence for Geospatial Applications I Oral
Track:
Community-Contributed Sessions
Location:
Room P5
Presentation Time:
Thursday, 7 August, 13:30 - 13:45
Session Co-Chairs:
Begüm Demir, Technische Universität Berlin and Manil Maskey, NASA
Presentation
Discussion
Resources
No resources available.
Session TH3.P5
TH3.P5.1: REBEN: REFINED BIGEARTHNET DATASET FOR REMOTE SENSING IMAGE ANALYSIS
Kai Norman Clasen, Leonard Hackel, Tom Burgert, Technische Universität Berlin, Germany; Gencer Sumbul, École Polytechnique Fédérale de Lausanne, Switzerland; Begüm Demir, Technische Universität Berlin, Germany; Volker Markl, Berlin Institute for the Foundations of Learning and Data, Germany
TH3.P5.2: MSLU-100K: A Large Multi-Source Dataset for Land Use Analysis in Major Chinese Cities
Yueheng Ma, Yao Yao, China University of Geosciences, China
TH3.P5.3: HYDROSIMNET: A NEW DATACUBE FOR GEOSPATIAL AI FROM HPC-DRIVEN PHYSICS-BASED MODEL
Girishchandra Yendargaye, Upasana Dutta, Yogesh Singh, T. S. Murugesh Prabhu, Centre for Development of Advanced Computing (C-DAC), India
TH3.P5.4: LLM-DRIVEN MULTIMODAL KNOWLEDGE GRAPH CONSTRUCTION FOR BRIDGES
Chao Wu, Yewen Fan, Wuhan University, China
TH3.P5.5: AUTOMATED ROAD NUMBERING FOR GEOSPATIAL MAPS USING SEARCH ALGORITHMS
Srivathsa Gottipati, Shreya ., Jai Bhatnagar, Praveen Paruchuri, K S Rajan ., International Institute of Information Technology, Hyderabad(IIIT-H), India
Resources
No resources available.