Repurposing a deep learning network to filter and classify volunteered photographs for land cover and land use characterization

This paper extends recent research into the usefulness of volunteered photos for land cover extraction, and investigates whether this usefulness can be automatically assessed by an easily accessible, off-the-shelf neural network pre-trained on a variety of scene characteristics. Geo-tagged photograp...

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Bibliographic Details
Main Authors: Lukasz Tracewski, Lucy Bastin, Cidalia C. Fonte
Format: Artigo
Language:Inglês
Published: Taylor & Francis Group 2017-07-01
Series:Geo-spatial Information Science
Subjects:
Land cover
land use
volunteered geographic information (VGI)
photograph
convolutional neural network
machine learning
Online Access:http://dx.doi.org/10.1080/10095020.2017.1373955
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