ENBIS-18 in Nancy

2 – 25 September 2018; Ecoles des Mines, Nancy (France) Abstract submission: 20 December 2017 – 4 June 2018

Opening Keynote: Jean-Yves Tourneret on: "A Review of Multiband Image Fusion Methods With a Specific Attention to Bayesian Methods"

3 September 2018, 09:30 – 10:30

Abstract

Submitted by
Jean-Yves Tourneret
Authors
Jean-Yves Tourneret (University of Toulouse)
Abstract
This talk will discuss several methods for fusing high spectral resolution images (such as hyperspectral images) and high spatial resolution images (such as panchromatic or multispectral images) in order to provide images with improved spectral and spatial resolutions. The first part will be devoted to summarizing the main image fusion methods based on component substitution, multiresolution analysis, Bayesian inference and matrix factorization. The second part will present recent Bayesian fusion strategies exploiting prior information about the target image to be recovered, constructed by interpolation or by using dictionary learning techniques. The resulting Bayesian estimators can be computed by using samples generated by Markov chain Monte Carlo algorithms, by exploiting the efficiency of alternating optimization methods or by solving Sylvester matrix equations.

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