Spectral-spatial classification of hyperspectral data using loopy belief propagation and active learning

IEEE Transactions on Geoscience and Remote Sensing

Volumn 51, Issue 2, 2013, Pages 844-856

  Li, Jun ^a   Bioucas Dias, José M ^b   Plaza, Antonio ^a  

^a UNIVERSITY OF EXTREMADURA   (Spain)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Active learning (AL); Discriminative random fields (DRFs); Hyperspectral image classification; Loopy belief propagation (LBP); Markov random fields (MRFs); Spectral spatial analysis

Indexed keywords

ACTIVE LEARNING; HYPERSPECTRAL IMAGE CLASSIFICATION; LOOPY BELIEF PROPAGATION; MARKOV RANDOM FIELD; RANDOM FIELDS; SPECTRAL-SPATIAL ANALYSIS;

ASSOCIATION REACTIONS; IMAGE SEGMENTATION; LEARNING ALGORITHMS; NASA; PROBABILITY DISTRIBUTIONS; SPECTROMETERS;

SPECTROSCOPY;

ALGORITHM; AVIRIS; IMAGE CLASSIFICATION; IMAGE PROCESSING; MARKOV CHAIN; NUMERICAL MODEL; OPTICAL INSTRUMENT; PROBABILITY; REGRESSION ANALYSIS; SPATIAL ANALYSIS; SPECTRAL ANALYSIS; STATISTICAL DISTRIBUTION;

EID: 84872922940     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2012.2205263     Document Type: Article

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