GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond
University of California, Santa Barbara · University of Wisconsin–Madison · +3 more institutions
Abstract
Recent progress in Artificial Intelligence (AI) techniques, the large-scale availability of high-quality data, as well as advances in both hardware and software to efficiently process these data, are transforming a range of fields from computer vision and natural language processing to autonomous driving and healthcare. For example, the availability of high-resolution geographic data and high-performance computing techniques together with deep learning fuel progress in fast and accurate object detection. Recent examples of GeoAI work include the detections of terrain features and densely-distributed building footprints, information extraction from scanned historical maps, semantic classification (e.g. LiDAR…
Citation impact
- FWCI
- 104.06
- Percentile
- 100%
- References
- 65
Authors
5Topics & keywords
- Knowledge extraction
- Data science
- Geographic information system
- Geography
- Computer science
- Artificial intelligence
- Cartography