A Deep Learning Approach to UAV Image Multilabeling

IEEE Geoscience and Remote Sensing Letters

Volumn 14, Issue 5, 2017, Pages 694-698

  Zeggada, Abdallah ^a   Melgani, Farid ^a   Bazi, Yakoub ^b  

^a UNIVERSITY OF TRENTO   (Italy)

^b KING SAUD UNIVERSITY   (Saudi Arabia)

Author keywords

Convolutional neural networks (CNNs); image multilabeling; Otsu's algorithm; unmanned aerial vehicles (UAVs); urban monitoring

Indexed keywords

DEEP LEARNING; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

COMPUTATION TIME; CONVOLUTIONAL NEURAL NETWORK; IMAGE DATASETS; INFORMATION CONTENTS; LEARNING APPROACH; MULTI-LABEL CLASSIFICATIONS; RADIAL BASIS FUNCTION NEURAL NETWORKS; STATE OF THE ART;

UNMANNED AERIAL VEHICLES (UAV);

EID: 85016103093     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2017.2671922     Document Type: Article

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