Extracting Geospatial Data from Historical Maps
New methods can detect location names from historical maps, make them searchable, and allow for the automated extraction of geographic data from those maps.
Platforms for Making Deep Learning Easier for GIS
New tools have been developed to facilitate the integration of deep learning tools within GIS applications.
Using Crowdsourcing and Deep Learning to Map Human Settlements
Machine learning techniques are being used to map new urban and land use patterns that were previously difficult to detect using crowdsourcing data.
Geospatial Artificial Intelligence: Emerging Trends and Challenges
There are both challenges and opportunities that Artificial Intelligence (AI) has in applying geospatial and GIS knowledge that also addresses issues of time and spatial bias.
Transforming Satellite Imagery Classification with Deep Learning
Deep learning has a potential to transform image classification and its use for the spatial sciences, including GIS.
Terrapattern: Search Engine for Satellite Imagery
Terrapattern lets users perform “similar-image” searches in unlabeled satellite imagery using deep learning machine vision techniques.