DeepVGI: Deep learning with volunteered geographic information

26th International World Wide Web Conference 2017, WWW 2017 Companion

Volumn , Issue , 2017, Pages 771-772

  Chen, Jiaoyan ^a   Zipf, Alexander ^a  

^a UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

Deep Learning; OpenStreetMap; VGI

Indexed keywords

DEEP NEURAL NETWORKS; RURAL AREAS; SATELLITE IMAGERY; WORLD WIDE WEB;

ACTIVE LEARNING; GROUND OBJECTS; HIGH BUILDING; HUMANITARIAN AIDS; MOBILE APPLICATIONS; OPENSTREETMAP; TRAINING DATA; VOLUNTEERED GEOGRAPHIC INFORMATION;

DEEP LEARNING;

EID: 85043297245     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3041021.3054250     Document Type: Conference Paper

References (2)

1. M. F. Goodchild. Citizens as sensors: the world of volunteered geography. GeoJournal, 69(4):211-221, 2007.
2. V. Mnih and G. E. Hinton. Learning to label aerial images from noisy data. In Proceedings of the 29th International Conference on Machine Learning (ICML-12), pages 567-574, 2012.