Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation

Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation

Among cartographic generalisation problems, the generalisation of sinuous bends in mountain roads has always been a popular one due to its difficulty. Recent research showed the potential of deep learning techniques to overcome some remaining research problems regarding the automation of cartographi...

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Bibliographic Details
Main Authors: Azelle Courtial, Achraf El Ayedi, Guillaume Touya, Xiang Zhang
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:ISPRS International Journal of Geo-Information
Subjects:
map generalisation
deep learning
u-net
mountain roads
Online Access:https://www.mdpi.com/2220-9964/9/5/338

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