Scene classification via a gradient boosting random convolutional network framework

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 3, 2016, Pages 1793-1802

  Zhang, Fan ^a   Du, Bo ^a   Zhang, Liangpei ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Convolutional networks (CNets); Gradient boosting machine (GBM); Scene classification

Indexed keywords

CONVOLUTION; IMAGE RECONSTRUCTION; LAND USE; REMOTE SENSING;

CLASSIFICATION RESULTS; CONVOLUTIONAL NETWORKS; HIGH RESOLUTION DATA; HIGH RESOLUTION REMOTE SENSING IMAGES; NEURAL NETWORK ENSEMBLES; SCENE CLASSIFICATION; STATE-OF-THE-ART METHODS; STATE-OF-THE-ART PERFORMANCE;

CLASSIFICATION (OF INFORMATION);

ANALYTICAL FRAMEWORK; ARTIFICIAL NEURAL NETWORK; DATA SET; HIERARCHICAL SYSTEM; IMAGE CLASSIFICATION; IMAGE PROCESSING; REMOTE SENSING; SATELLITE DATA; SENSOR; SPATIAL RESOLUTION;

AUSTRALIA; CALIFORNIA; MERCED COUNTY; NEW SOUTH WALES; SYDNEY [NEW SOUTH WALES]; UNITED STATES;

EID: 84945898896     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2488681     Document Type: Article

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