Bayesian classification of multivariate image after MAP reconstruction of noisy channels

Presents a supervised Bayesian classifier that makes use of both spectral signatures and spatial interactions after the preprocessing of clean noisy channels. The authors apply the Markov random field model at both preprocessing and classification stages. They perform the optimization using either c...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Yonhong Jhung, Swain, P.H.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bayesian methods Cleaning Filters Image reconstruction Markov random fields Parameter estimation Remote sensing Signal to noise ratio Stochastic processes Working environment noise
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