GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions

Y Hu, S Gao, D Lunga, W Li, S Newsam, B Bhaduri - Sigspatial Special, 2019 - dl.acm.org
Geospatial artificial intelligence (GeoAI) is an interdisciplinary field that has received
tremendous attention from both academia and industry in recent years. This article reviews …

Leveraging crowdsourced GPS data for road extraction from aerial imagery

T Sun, Z Di, P Che, C Liu… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Deep learning is revolutionizing the map** industry. Under lightweight human curation,
computer has generated almost half of the roads in Thailand on Open-StreetMap (OSM) …

Road extraction with satellite images and partial road maps

Q Xu, C Long, L Yu, C Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Road extraction is a process of automatically generating road maps mainly from satellite
images. Existing models all target to generate roads from the scratch despite that a large …

Road network reconstruction from satellite images with machine learning supported by topological methods

TK Dey, J Wang, Y Wang - Proceedings of the 27th ACM SIGSPATIAL …, 2019 - dl.acm.org
Automatic Extraction of road network from satellite images is a goal that can benefit and
even enable new technologies. Methods that combine machine learning (ML) and computer …