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Land cover; land use; volunteered geographic information (VGI); photograph; convolutional neural network; machine learning
iText 4.2.0 by 1T3XT
application/pdf
10.1080/10095020.2017.1373955
en
Repurposing a deep learning network to filter and classify volunteered photographs for land cover and land use characterization
Lukasz Tracewski
Lucy Bastin
Cidalia C. Fonte
Land cover
land use
volunteered geographic information (VGI)
photograph
convolutional neural network
machine learning
Geo-spatial Information Science, 2017. doi:10.1080/10095020.2017.1373955
Taylor & Francis
Journal
Geo-spatial Information Science
© 2017 Wuhan University. Published by Taylor & Francis Group
1009-5020
1993-5153
20
3
Volunteered Geographic Information (VGI)-Analytics. Guest Editors: Peter Mooney, Alexander Zipf, Jamal Jokar Arsanjani, and Hartwig H. Hochmair
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268
10.1080/10095020.2017.1373955
http://doi.org/10.1080/10095020.2017.1373955
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