Deep Learning with Grouped Features for Spatial Spectral Classification of Hyperspectral Images

IEEE Geoscience and Remote Sensing Letters

Volumn 14, Issue 1, 2017, Pages 97-101

  Zhou, Xichuan ^a   Li, Shengli ^a   Tang, Fang ^a   Qin, Kai ^b   Hu, Shengdong ^a   Liu, Shujun ^a  

^a CHONGQING UNIVERSITY   (China)

^b Beijing Research Institute of Uranium Geology   (China)

Author keywords

Deep belief network (DBN); deep learning; grouped features; hyperspectral images (HSIs); unlabeled samples

Indexed keywords

FEATURE EXTRACTION; LEARNING ALGORITHMS; SPECTROSCOPY;

DEEP NEURAL NETWORKS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL DATA; SPECTRAL BAND; SPECTRAL CLASSIFICATION; SPECTRAL DATA; STATE-OF-THE-ART APPROACH; TRAINING ALGORITHMS;

IMAGE CLASSIFICATION;

EID: 85003666734     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2016.2630045     Document Type: Article

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