Hyperspectral Images Classification with Gabor Filtering and Convolutional Neural Network

IEEE Geoscience and Remote Sensing Letters

Volumn 14, Issue 12, 2017, Pages 2355-2359

  Chen, Yushi ^a   Zhu, Lin ^a   Ghamisi, Pedram ^b,e   Jia, Xiuping ^c   Li, Guoyu ^d   Tang, Liang ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

^c UNIVERSITY OF NEW SOUTH WALES   (Australia)

^d Chinese Academy of Sciences   (China)

^e TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Convolutional neural network (CNN); deep learning; feature extraction (FE); Gabor filtering; hyperspectral images (HSIs)

Indexed keywords

CONVOLUTION; DEEP LEARNING; DEEP NEURAL NETWORKS; EXTRACTION; FEATURE EXTRACTION; HYPERSPECTRAL IMAGING; IMAGE CLASSIFICATION; INDEPENDENT COMPONENT ANALYSIS; INFORMATION FILTERING; IRON; NEURAL NETWORKS; PERSONNEL TRAINING; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SAMPLING; SPECTROSCOPY;

CLASSIFICATION ACCURACY; CONVOLUTIONAL NEURAL NETWORK; GABOR FILTERING; HYPERSPECTRAL REMOTE SENSING; IMAGES CLASSIFICATION; LEARNING-BASED APPROACH; OVER FITTING PROBLEM; SPATIAL INFORMATIONS;

GABOR FILTERS;

EID: 85033675724     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2017.2764915     Document Type: Article

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