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GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery [article]

Bohao Huang, Jichen Yang, Artem Streltsov, Kyle Bradbury, Leslie M. Collins, Jordan Malof
2021 arXiv   pre-print
Furthermore, conventional means for collecting this information is costly and limited. We propose to automatically map the grid in overhead remotely sensed imagery using deep learning.  ...  Towards this goal, we develop and publicly-release a large dataset (263km^2) of overhead imagery with ground truth for the power grid, to our knowledge this is the first dataset of its kind in the public  ...  ACKNOWLEDGMENT The authors would like to thank the Duke University Bass Connections and Data+ programs for their support of this work and for each of the team members who contributed to the construction  ... 
arXiv:2101.06390v1 fatcat:l4c2uoa3xbgqhj6gsadrezhjoq