Land use classification using convolutional neural networks applied to ground-level images

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Volumn 03-06-November-2015, Issue , 2015, Pages

  Zhu, Yi ^a   Newsam, Shawn ^a  

^a University of California   (United States)

Author keywords

Convolutional neural networks; Geo referenced images; Indoor outdoor image classification; Land use classification

Indexed keywords

BENCHMARKING; CLASSIFICATION (OF INFORMATION); CONVOLUTION; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; LAND USE; MAPPING; NEURAL NETWORKS; SEMANTICS;

ALTERNATE APPROACHES; CONVOLUTIONAL NEURAL NETWORK; GEO-REFERENCED IMAGES; GEOGRAPHIC KNOWLEDGE DISCOVERIES; HIGH LEVEL SEMANTICS; INDOOR/OUTDOOR; LANDUSE CLASSIFICATIONS; STATE-OF-THE-ART PERFORMANCE;

IMAGE CLASSIFICATION;

EID: 84961213927     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2820783.2820851     Document Type: Conference Paper

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