By Topic

Image data fusion using projection over the set of solutions of an underdetermined least squares problem

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Zaniboni, G.T. ; Dept. de Comput., Univ. Fed. de Sao Carlos, Brazil ; Mascarenhas, N.

This paper presents a new image data fusion method that aims to combine images with different spatial and spectral resolutions. It is based on a projection onto the subspace of the set of solutions of an underdetermined least squares problem. The data fusion problem may also involve an interpolation process, when images with different spatial resolutions are used. In our case, this interpolation was performed by using a Bayesian approach, with or without spatial adaptation. As an example, the method is applied to SPOT images over Sao Jose dos Campos, SP, Brazil

Published in:

Computer Graphics and Image Processing, 1999. Proceedings. XII Brazilian Symposium on

Date of Conference:

1999