Transfer Learning with Fully Pretrained Deep Convolution Networks for Land-Use Classification

IEEE Geoscience and Remote Sensing Letters

Volumn 14, Issue 9, 2017, Pages 1436-1440

  Zhao, Bei ^a   Huang, Bo ^a   Zhong, Yanfei ^b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b WUHAN UNIVERSITY   (China)

Author keywords

Convolutional networks (CNets); deep learning; fine tuning; fully pretrained; high spatial resolution (HSR) imagery; land use classification; random cropping and mirroring

Indexed keywords

CONVOLUTION; DEEP LEARNING; IMAGE CLASSIFICATION; IMAGE RESOLUTION; LAND USE; LEARNING SYSTEMS;

CONVOLUTIONAL NETWORKS; FINE TUNING; FULLY PRETRAINED; HIGH SPATIAL RESOLUTION; LANDUSE CLASSIFICATIONS; RANDOM CROPPING;

CLASSIFICATION (OF INFORMATION);

EID: 85028946560     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2017.2691013     Document Type: Article

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