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Proceedings Paper

Multispectral image fusion by simulated annealing
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Paper Abstract

The main purpose of this work is to develop a new technique for image fusion based on the optimization of the Linear Mixture Model (LMM) through the algorithm known as Simulated Annealing (SA). The final result given by the algorithm is a fused image (FI) distinguished by a high spatial and spectral resolution. The algorithm proposed is being evaluated for the multispectral images registered by the Landsat 7 ETM+ sensor. In this study, the high spatial resolution image (HSRI) corresponds to the panchromatic image of this sensor, with a spatial resolution of 15m and the low spatial resolution image (LSRI) corresponds to the spectral bands TM1, TM2, TM3, TM4, TM5 and TM7, with a spatial resolution of 30m. As a result, it has been obtained images with a spectral resolution of the 6 bands and a spatial resolution of 15 m. The improvement in the quality of the fused images has allowed the identification of new, more homogeneous spectral classes.

Paper Details

Date Published: 5 February 2004
PDF: 9 pages
Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); doi: 10.1117/12.514001
Show Author Affiliations
Mario F Lillo-Saavedra, Univ. de Concepcion (Chile)
Consuelo Gonzalo, Univ. Politecnica de Madrid (Spain)
Agueda Arqueros, Univ. Politecnica de Madrid (Spain)
Estibaliz Martinez, Univ. Politecnica de Madrid (Spain)


Published in SPIE Proceedings Vol. 5238:
Image and Signal Processing for Remote Sensing IX
Lorenzo Bruzzone, Editor(s)

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