Semisupervised Sparse Manifold Discriminative Analysis for Feature Extraction of Hyperspectral Images

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 10, 2016, Pages 6197-6211

  Luo, Fulin ^a   Huang, Hong ^a   Ma, Zezhong ^b   Liu, Jiamin ^a  

^a CHONGQING UNIVERSITY   (China)

^b Chongqing Institute of Surveying and Planning for Land Resources and Housing   (China)

Author keywords

Feature extraction (FE); graph embedding (GE); hyperspectral image (HSI); semisupervised discriminative analysis; Sparse manifold learning

Indexed keywords

CLASSIFICATION (OF INFORMATION); EXTRACTION; FEATURE EXTRACTION; SPECTROMETERS; SPECTROSCOPY;

AIRBORNE VISIBLE/INFRARED IMAGING SPECTROMETERS; CLASSIFICATION ACCURACY; DISCRIMINATING POWER; DISCRIMINATIVE FEATURES; DISCRIMINATIVE LEARNING; IMAGING SPECTROMETERS; LOW-DIMENSIONAL SPACES; SPARSE REPRESENTATION;

IMAGE PROCESSING;

ALGORITHM; DISCRIMINANT ANALYSIS; GRAPHICAL METHOD; IMAGE ANALYSIS; IMAGE CLASSIFICATION; MATRIX; SPECTRAL ANALYSIS; SPECTROMETER; SUPERVISED LEARNING;

EID: 84978289334     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2016.2583219     Document Type: Article

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