SIGSPATIAL Special · 2019 · 54 citations · 38 references
ComputingComputer ScienceGeoinformaticsArtificial IntelligenceGeographic Information SystemsGeospatial Artificial IntelligenceDigital MappingGeospatial Computer VisionGeospatial Data ProcessingGeospatial Machine LearningGeovisual AnalyticsGeospatial IntelligenceImage Processing Algorithms
Geospatial artificial intelligence (GeoAI) is an interdisciplinary field attracting significant academic and industry interest, and its workshops at ACM SIGSPATIAL have served as a forum for presenting advances across diverse topics such as image processing, transportation modeling, public health, and digital humanities. This article reviews the GeoAI workshops held at ACM SIGSPATIAL since 2017. It summarizes the topics and research papers presented at the 2017, 2018, and 2019 GeoAI workshops. The article concludes with a list of open research directions for this rapidly advancing field.
Geospatial artificial intelligence (GeoAI) is an interdisciplinary field that has received tremendous attention from both academia and industry in recent years. This article reviews the series of GeoAI workshops held at the Association for Computing Machinery (ACM) International Conference on Advances in Geographic Information Systems (SIGSPATIAL) since 2017. These workshops have provided researchers a forum to present GeoAI advances covering a wide range of topics, such as geospatial image processing, transportation modeling, public health, and digital humanities. We provide a summary of these topics and the research articles presented at the 2017, 2018, and 2019 GeoAI workshops. We conclude with a list of open research directions for this rapidly advancing field.
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ImageNet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher et al. · 2009 IEEE Conference on Computer Vision and Pattern Recognition · 2009 · 61.8K citations