Three-Layer Convex Network for Domain Adaptation in Multitemporal VHR Images

IEEE Geoscience and Remote Sensing Letters

Volumn 13, Issue 3, 2016, Pages 354-358

  Othman, Esam ^a   Bazi, Yakoub ^a   Alajlan, Naif ^a   Alhichri, Haikel ^a   Melgani, Farid ^b  

^a And Department of Software Engineering   (Saudi Arabia)

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

Convex network (CN); domain adaptation (DA); multitemporal very high resolution images; scale invariant feature transform (SIFT)

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEEDFORWARD NEURAL NETWORKS; IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; ITERATIVE METHODS; LEARNING SYSTEMS; REMOTE SENSING; SAMPLING;

CONTEXTUAL INFORMATION; CONVEX NETWORK (CN); DOMAIN ADAPTATION; EXTREME LEARNING MACHINE; SCALE INVARIANT FEATURE TRANSFORMS; SINGLE LAYER FEED-FORWARD NEURAL NETWORKS; SPATIAL REGULARIZATIONS; VERY HIGH RESOLUTION (VHR) IMAGE;

NETWORK LAYERS;

EID: 84954349325     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2015.2512999     Document Type: Article

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