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Detecting and Analyzing Solar Panels in Switzerland using Aerial Imagery

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Detecting and Analyzing Solar Panels in Switzerland using Aerial Imagery
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130
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CC Attribution - NonCommercial - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
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Abstract
A novel method for detecting solar panels and its geometry on aerial imagery is presented. Deep Learning with PyTorch is being used for segmentation. The goal is to know the exact locations, dimensions and potential of every solar installation in Switzerland. It is shown how we labelled the data and how we found a solution to distinguish different solar panel types.