Predicting road quality using high resolution satellite imagery: A transfer learning approach

Recognizing the importance of road infrastructure to promote human health and economic development, actors around the globe are regularly investing in both new roads and road improvements. However, in many contexts there is a sparsity—or complete lack—of accurate information regarding existing road...

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Veröffentlicht in:	PloS one 2021-07, Vol.16 (7), p.e0253370-e0253370
Hauptverfasser:	Brewer, Ethan, Lin, Jason, Kemper, Peter, Hennin, John, Runfola, Dan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Analysis Artificial neural networks Automation Biology and Life Sciences Classification Computer and Information Sciences Computer architecture Data collection Datasets Earth Sciences Economic development Engineering and Technology Image resolution Infrastructure Infrastructure (Economics) Learning Neural networks People and places Physical Sciences Quality management Remote sensing Research and Analysis Methods Road construction Roads Roads & highways Satellite imagery Satellite imaging Satellites Social Sciences Transfer learning Unpaved roads
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