SatCNN: satellite image dataset classification using agile convolutional neural networks

Remote Sensing Letters

Volumn 8, Issue 2, 2017, Pages 136-145

  Zhong, Yanfei ^a   Fei, Feng ^a   Liu, Yanfei ^a   Zhao, Bei ^b   Jiao, Hongzan ^a   Zhang, Liangpei ^a  

^a WUHAN UNIVERSITY   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER GRAPHICS; CONVOLUTION; DEEP NEURAL NETWORKS; GRAPHICS PROCESSING UNIT; NETWORK ARCHITECTURE; NEURAL NETWORKS; PROGRAM PROCESSORS; REMOTE SENSING; SATELLITE IMAGERY;

CONVOLUTIONAL KERNEL; CONVOLUTIONAL NEURAL NETWORK; DEEP CONVOLUTIONAL NEURAL NETWORKS; HIERARCHICAL FEATURES; HIGH SPATIAL RESOLUTION; REMOTE SENSING SATELLITES; SCENE CLASSIFICATION; SPATIAL RELATIONSHIPS;

IMAGE CLASSIFICATION;

ARTIFICIAL NEURAL NETWORK; DATA SET; IMAGE CLASSIFICATION; IMAGE PROCESSING; IMAGE RESOLUTION; NUMERICAL MODEL; REMOTE SENSING; SATELLITE IMAGERY;

EID: 84994662729     PISSN: 2150704X     EISSN: 21507058     Source Type: Journal    
DOI: 10.1080/2150704X.2016.1235299     Document Type: Article

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