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Location
London, Ontario
Website
https://westernu.maps.arcgis.com/apps/dashboards/61234059488042ccb4ad3b9583e03dee
Start Date
18-11-2021 9:30 AM
End Date
18-11-2021 10:30 AM
Description
My presentation highlights the compatibility of remote sensing and astronomy methods. Here I discuss the classification of galaxy components in UGC 2885, a massive spiral galaxy, by machine learning; in particular, I compare the traditional method of maximum likelihood with the more powerful models random forest and support vector machine.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Galaxy Mapping by Machine Learning Classification, Lightning Talk (7 min)
London, Ontario
My presentation highlights the compatibility of remote sensing and astronomy methods. Here I discuss the classification of galaxy components in UGC 2885, a massive spiral galaxy, by machine learning; in particular, I compare the traditional method of maximum likelihood with the more powerful models random forest and support vector machine.
https://ir.lib.uwo.ca/wlgisday/2021/lightningtalks/37
Comments
SRT file available upon request, contact the GIS team via https://guides.lib.uwo.ca/gis/support.