Semisupervised Endmember Identification in Nonlinear Spectral Mixtures via Semantic Representation

IEEE Transactions on Geoscience and Remote Sensing

Volumn 55, Issue 6, 2017, Pages 3272-3286

  Itoh, Yuki ^a   Feng, Siwei ^a   Duarte, Marco F ^a   Parente, Mario ^a  

^a University of Massachusetts   (United States)

Author keywords

Hidden Markov model; hyperspectral image (HSI); nonlinear mixing; semantics; unmixing; wavelet

Indexed keywords

MARKOV PROCESSES; MIXING; WAVELET TRANSFORMS;

A-WAVELET TRANSFORM; DISCRIMINATIVE FEATURES; HIDDEN MARKOV CHAIN MODEL; HYPERSPECTRAL UNMIXING; LINEAR MIXING MODELS; SEMANTIC REPRESENTATION; SPECTRAL REPRESENTATIONS; UNMIXING ALGORITHMS;

SEMANTICS;

ALGORITHM; GENETIC ALGORITHM; MARKOV CHAIN; NUMERICAL METHOD; NUMERICAL MODEL; SPECTRAL RESOLUTION; SUPERVISED LEARNING; WAVELET ANALYSIS;

EID: 85016475596     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2017.2667226     Document Type: Article

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