Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques

Author

Molina, Rafael ; Vega, M. ; Mateos, Javier ; Katsaggelos, Aggelos K.

Author_Institution

Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain

fYear

2006

Firstpage

1749

Lastpage

1752

Abstract

In this paper we present a new super resolution Bayesian method for pansharpening of multispectral images which: a) incorporates prior knowledge on the expected characteristics of the multispectral images, b) uses the sensor characteristics to model the observation process of both panchromatic and multispectral images, and c) performs the estimation of all the unknown parameters in the model. Using real data, the pansharpened multispectral images are compared with the images obtained by other pansharpening methods and their quality is assessed both qualitatively and quantitatively.

Keywords

Bayes methods; image reconstruction; image resolution; Bayesian reconstruction; multispectral image pansharpening; panchromatic images; parameter estimation; sensor characteristics; super resolution technique; Bayesian methods; Image reconstruction; Image resolution; Image sensors; Multispectral imaging; Parameter estimation; Pixel; Remote sensing; Satellites; Spatial resolution; Hierarchical Bayesian modeling; image reconstruction; pansharpening multispectral images; super resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2006 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1522-4880

Print_ISBN

1-4244-0480-0

Type

conf

DOI

10.1109/ICIP.2006.312720

Filename

4106888