Hyperspectral Image Classification Using Deep Pixel-Pair Features

IEEE Transactions on Geoscience and Remote Sensing

Volumn 55, Issue 2, 2017, Pages 844-853

  Li, Wei ^a   Wu, Guodong ^a   Zhang, Fan ^a   Du, Qian ^b  

^a BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

^b MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Convolutional neural network (CNN); deep learning; feature extraction; hyperspectral imagery; pattern classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONVOLUTION; DEEP LEARNING; DEEP NEURAL NETWORKS; FEATURE EXTRACTION; IMAGE CLASSIFICATION; NEURAL NETWORKS; PATTERN RECOGNITION; SPECTROSCOPY;

CLASSIFICATION PERFORMANCE; CONVOLUTIONAL NEURAL NETWORKS (CNN); DEEP CONVOLUTIONAL NEURAL NETWORKS; DISCRIMINATIVE POWER; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL IMAGE DATAS; LEARNING-BASED METHODS; VOTING STRATEGIES;

PIXELS;

ARTIFICIAL NEURAL NETWORK; DATA SET; IMAGE ANALYSIS; IMAGE CLASSIFICATION; MACHINE LEARNING; MULTISPECTRAL IMAGE; PIXEL;

EID: 84995529466     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2016.2616355     Document Type: Article

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