Deep learning earth observation classification using ImageNet pretrained networks

IEEE Geoscience and Remote Sensing Letters

Volumn 13, Issue 1, 2016, Pages 105-109

  Marmanis, Dimitrios ^a,b   Datcu, Mihai ^a   Esch, Thomas ^a   Stilla, Uwe ^b  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Convolutional neural networks (CNNs); Deep learning (DL); Feature extraction; Land use classification; Pretrained network; Remote sensing (RS)

Indexed keywords

LAND USE; NEURAL NETWORKS;

CLASSIFICATION RESULTS; COMPUTATIONALLY EFFICIENT; CONVOLUTIONAL NEURAL NETWORK; EARTH OBSERVATIONS; FEATURE FUSION; HIGHLY ACCURATE; LARGE DATA DIMENSIONALITIES; OVERALL ACCURACIES;

CLASSIFICATION (OF INFORMATION);

EID: 84949921276     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2015.2499239     Document Type: Article

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