A fast and effective deep learning approach for road extraction from historical maps by automatically generating training data with symbol reconstruction-Reference-Cited by-同舟云学术

A fast and effective deep learning approach for road extraction from historical maps by automatically generating training data with symbol reconstruction

Published:2022-09 Issue: Volume:113 Page:102980
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Jiao Chenjing,Heitzler Magnus,Hurni Lorenz

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference43 articles.

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3. Extracting road vector data from raster maps;Chiang,2009

4. November. Automatic extraction of road intersections from raster maps;Chiang,2005

5. Using Historical Maps in Scientific Studies: Applications, Challenges, and Best Practices;Chiang,2020

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