Diverse region-based CNN for hyperspectral image classification

IEEE Transactions on Image Processing

Volumn 27, Issue 6, 2018, Pages 2623-2634

  Zhang, Mengmeng ^a   Li, Wei ^a   Du, Qian ^b  

^a BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

^b MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Convolutional neural network; Deep learning; Hyperspectral image; Pattern recognition

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CONVOLUTION; DATA MINING; DEEP LEARNING; FEATURE EXTRACTION; HYPERSPECTRAL IMAGING; LEARNING SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION; PIXELS; SEMANTICS; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

CLASSIFICATION FRAMEWORK; CONVOLUTIONAL NEURAL NETWORK; CONVOLUTIONAL NEURAL NETWORKS (CNN); DISCRIMINATIVE POWER; FULLY CONNECTED NETWORKS; HYPERSPECTRAL IMAGE DATAS; PIXEL CLASSIFICATION; SPATIAL INFORMATIONS;

IMAGE CLASSIFICATION;

ARTICLE; CLASSIFIER; CONVOLUTIONAL NEURAL NETWORK; DEEP LEARNING;

EID: 85042846011     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2018.2809606     Document Type: Article

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