Bayesian Approach With Hidden Markov Modeling and Mean Field Approximation for Hyperspectral Data Analysis

Authors:
N. Bali;A. Mohammad-Djafari
Affiliations:
CNRS, Gif-sur-Yvette;-
Venue:
IEEE Transactions on Image Processing
Year:
2008

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Abstract

The main problems in hyperspectral image analysis are spectral classification, segmentation, and data reduction. In this paper, we propose a Bayesian estimation approach which gives a joint solution for these problems. The problem is modeled as a blind sources separation (BSS). The data are M hyperspectral images and the sources are K