Change Detection from Remote Sensing to Guide OpenStreetMap Labeling

Change Detection from Remote Sensing to Guide OpenStreetMap Labeling

The growing amount of openly available, meter-scale geospatial vertical aerial imagery and the need of the OpenStreetMap (OSM) project for continuous updates bring the opportunity to use the former to help with the latter, e.g., by leveraging the latest remote sensing data in combination with state-...

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Bibliographic Details
Main Authors: Conrad M. Albrecht, Rui Zhang, Xiaodong Cui, Marcus Freitag, Hendrik F. Hamann, Levente J. Klein, Ulrich Finkler, Fernando Marianno, Johannes Schmude, Norman Bobroff, Wei Zhang, Carlo Siebenschuh, Siyuan Lu
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
OpenStreetMap data collection
remote sensing
geospatial change detection
image segmentation
artificial neural networks
big geospatial databases
Online Access:https://www.mdpi.com/2220-9964/9/7/427

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