R-VCANet: A New Deep-Learning-Based Hyperspectral Image Classification Method

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 10, Issue 5, 2017, Pages 1975-1986

  Pan, Bin ^a   Shi, Zhenwei ^a   Xu, Xia ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Deep learning; hyperspectral image (HSI) classification; limited samples; rolling guidance filter (RGF) and vertex component analysis network (R VCANet)

Indexed keywords

IMAGE CLASSIFICATION; SAMPLING; SPECTROSCOPY;

FEATURE EXPRESSION; FEATURES EXTRACTION; LEARNING-BASED METHODS; SPATIAL INFORMATIONS; SPECTRAL CHARACTERISTICS; STATE-OF-THE-ART METHODS; STRUCTURE FEATURES; VERTEX COMPONENT ANALYSIS;

DEEP LEARNING;

IMAGE CLASSIFICATION; LEARNING; MULTISPECTRAL IMAGE; TRAINING;

EID: 85012965527     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2017.2655516     Document Type: Article

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