Work

Geospatial machine learning

Year: 2023

Type: article

Source: Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)

Author: Stewart, Adam J.

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, University of Texas at Austin, National Centre for Supercomputing Applications, Deutsches Zentrum für Luft- und Raumfahrt, National Geospatial-Intelligence Agency, University of Illinois at Urbana-Champaign, Leibniz-Gemeinschaft

Awards: G1092154682, Leadership Class Scientific and Engineering Computing: Breaking Through the Limits, Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering, G5367696895, G5737679380, G8324313409

OpenAlex ID: W7220825869

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