Automated Extraction of Human Settlement Patterns From Historical Topographic Map Series Using Weakly Supervised Convolutional Neural Networks

Automated Extraction of Human Settlement Patterns From Historical Topographic Map Series Using Weakly Supervised Convolutional Neural Networks

Information extraction from historical maps represents a persistent challenge due to inferior graphical quality and the large data volume of digital map archives, which can hold thousands of digitized map sheets. Traditional map processing techniques typically rely on manually collected templates of...

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Bibliographic Details
Main Authors: Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang, Weiwei Duan, Craig A. Knoblock
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
digital humanities
digital preservation
document analysis
geospatial analysis
geospatial artificial intelligence
Online Access:https://ieeexplore.ieee.org/document/8946322/

Internet

https://ieeexplore.ieee.org/document/8946322/

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