An Efficient Algorithm For Satellite Images Fusion Based On Contourlet Transform

Gonzalo Martín, Consuelo and Lillo Saavedra, Mario Fernando (2008). An Efficient Algorithm For Satellite Images Fusion Based On Contourlet Transform. "Internatonal Journal of Geoinformatics", v. 4 (n. 3); pp. 33-37. ISSN 1686-6576.

Description

Title: An Efficient Algorithm For Satellite Images Fusion Based On Contourlet Transform
Author/s:
  • Gonzalo Martín, Consuelo
  • Lillo Saavedra, Mario Fernando
Item Type: Article
Título de Revista/Publicación: Internatonal Journal of Geoinformatics
Date: September 2008
ISSN: 1686-6576
Volume: 4
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This paper proposes a new fusion method for multiespectral (MULTI) and panchromatic (PAN) images that uses a highly anisotropic and redundant representation of images. This methodology join the simplicity of the Wavelet transform, calculated using the à trous algorithm, with the benefits of multidirectional transforms like Contourlet Transform. That has permitted an adequate extraction of information from the source images, in order to obtain fused images with high spatial and spectral quality simultaneously. The new method has been implemented through a directional low pass filter bank with low computational complexity. The source images correspond to those captured by the IKONOS satellite (panchromatic and multispectral). The influence of the filter bank parameters in the global quality of the fused images has been investigated. The results obtained indicate that the proposed methodology provides an objective control of the spatial and spectral quality trade-off of the fused images by the determination of an appropriate set of filter bank parameters.

More information

Item ID: 2313
DC Identifier: http://oa.upm.es/2313/
OAI Identifier: oai:oa.upm.es:2313
Official URL: http://j-geoinfo.net/
Deposited by: Memoria Investigacion
Deposited on: 23 Feb 2010 09:51
Last Modified: 20 Apr 2016 12:03
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