10 papers
Deep learning enables urban change profiling through alignment of historical maps
Sidi Wu, Yizi Chen, Maurizio Gribaudi +4
Prior to modern Earth observation technologies, historical maps provide a unique record of long-term urban transformation and offer a lens on the evolving identity of cities. Howev…
Generative AI in Map-Making: A Technical Exploration and Its Implications for Cartographers
Claudio Affolter, Sidi Wu, Yizi Chen +1
Traditional map-making relies heavily on Geographic Information Systems (GIS), requiring domain expertise and being time-consuming, especially for repetitive tasks. Recent advances…
MapSAM2: Adapting SAM2 for Automatic Segmentation of Historical Map Images and Time Series
Xue Xia, Randall Balestriero, Tao Zhang +4
Historical maps are unique and valuable archives that document geographic features across different time periods. However, automated analysis of historical map images remains a sig…
Geospatial Question Answering on Historical Maps Using Spatio-Temporal Knowledge Graphs and Large Language Models
Ziyi Liu, Sidi Wu, Lorenz Hurni
Recent advances have enabled the extraction of vectorized features from digital historical maps. To fully leverage this information, however, the extracted features must be organiz…
Constructing AI ethics narratives based on real-world data: Human-AI collaboration in data-driven visual storytelling
Mengyi Wei, Chenjing Jiao, Chenyu Zuo +2
AI ethics narratives have the potential to shape the public accurate understanding of AI technologies and promote communication among different stakeholders. However, AI ethics nar…
Self-supervised Video Instance Segmentation Can Boost Geographic Entity Alignment in Historical Maps
Xue Xia, Randall Balestriero, Tao Zhang +1
Tracking geographic entities from historical maps, such as buildings, offers valuable insights into cultural heritage, urbanization patterns, environmental changes, and various his…