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

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 parsharpening methods and their quality is assessed both qualitatively and quantitatively.

• Type: Conference
• Year: 2006
• Where: ICIP
• Authors: Rafael Molina, Miguel Vega, Javier Mateos, Aggelos K. Katsaggelos
• Keywords: ICIP 2006, Image Processing, Multispectral Images, Resolution Bayesian Method, Sensor Characteristics