Fully Automated Segmentation of 2D and 3D Mobile Mapping Data for Reliable Modeling of Surface Structures Using Deep Learning

Fully Automated Segmentation of 2D and 3D Mobile Mapping Data for Reliable Modeling of Surface Structures Using Deep Learning

Maintenance and expansion of transport and communications infrastructure requires ongoing construction work on a large scale. To plan and execute these in the best possible way, up-to-date and highly detailed digital maps are needed. For example, until recently, telecommunication companies have perf...

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Bibliographic Details
Main Authors: Alexander Reiterer, Katharina Wäschle, Dominik Störk, Achim Leydecker, Niko Gitzen
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Remote Sensing
Subjects:
mobile mapping systems
road surface texture
supervised learning
semantic segmentation
broadband infrastructure
Online Access:https://www.mdpi.com/2072-4292/12/16/2530

Internet

https://www.mdpi.com/2072-4292/12/16/2530

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