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Conference object . 2019
License: CC BY
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Conference object . 2019
License: CC BY
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https://dx.doi.org/10.5281/zen...
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RE.PUBLIC@POLIMI Research Publications at Politecnico di Milano
Conference object . 2019
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https://dx.doi.org/10.5281/zen...
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Automatic feature extraction to support Mountains Mapping in OSM

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 01 Jan 2019 English Publisher:Zenodo
Authors: Rocio Nahime Torres; Piero Fraternali; MILANI, FEDERICO; Darian Frajberg;

doi: 10.5281/zenodo.3387718 , 10.5281/zenodo.3387719

handle: 11311/1107623

Automatic feature extraction to support Mountains Mapping in OSM

Abstract

Nahime Torres et al. (2019). Automatic feature extraction to support Mountains Mapping in OSM In: Minghini, M., Grinberger, A.Y., Juhász, L., Yeboah, G., Mooney, P. (Eds.). Proceedings of the Academic Track at the State of the Map 2019, 31-32. Heidelberg, Germany, September 21-23, 2019. Available at https://zenodo.org/communities/sotm-2019 DOI: 10.5281/zenodo.3387719

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Keywords

Deep Learning, Mapping, Feature extraction, GIScience, OpenStreetMap

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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