Abstract: This paper presents a Bayesian algorithm for linear spectral unmixing that accounts for outliers present in the data. The proposed model assumes ...
ABSTRACT. This paper presents a Bayesian algorithm for linear spectral unmix- ing that accounts for outliers present in the data. The proposed model.
Jan 15, 2015 · Abstract:This paper presents a Bayesian algorithm for linear spectral unmixing of hyperspectral images that accounts for anomalies present ...
This paper presents a Bayesian algorithm for linear spectral unmixing of hyperspectral images that accounts for anomalies present in the data.
This paper presents a Bayesian algorithm for linear spectral unmixing that accounts for outliers present in the data. The proposed model assumes that the ...
Request PDF | On Apr 1, 2015, Yoann Altmann and others published Robust linear spectral unmixing using outlier detection | Find, read and cite all the ...
A Bayesian algorithm for linear spectral unmixing of hyperspectral images that accounts for anomalies present in the data and a Markov random field is used ...
Feb 7, 2015 · PDF | This paper presents a Bayesian algorithm for linear spectral unmixing of hyperspectral images that accounts for anomalies present in ...
Hyperspectral imaging concept. ⇒ Analysis of robust algorithms in presence of different effects. (nonlinearity NL, endmember variability EV, outliers, ..
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This paper is concerned with a joint Bayesian formulation for de- termining the endmembers and abundances of hyperspectral images along with sparse outliers ...