This paper presents a novel image fusion method, suitable for pan-sharpening of multispectral (MS) bands, based on multi-resolution analysis (MRA). The low-resolution MS bands are sharpened by injecting high-pass directional details extracted from the high-resolution panchromatic (Pan) image by means of the curvelet transform, which is a non-separable MRA, whose basis function are directional edges with progressively increasing resolution. The advantage with respect to conventional separable MRA, either decimated or not, is twofold: directional detail coefficients matching image edges may be preliminarily soft-thresholded to achieve denoising better than in the separable wavelet domain; modeling of the relationships between high-resolution detail coefficients of S bands and of the Pan image is more fitting, being carried out in a directional wavelet domain. Experiments carried out on a very-high resolution MS + Pan QuickBird image show that the proposed curvelet method quantitatively outperforms state-of-the art image fusion methods, in terms of geometric, radiometric, and spectral fidelity.

Alparone, L., Baronti, S., Garzelli, A., Nencini, F. (2006). The curvelet transform for fusion of very high resolution multispectral and panchromatic images. In Global Developments in Enviromental Earth Observation from space (pp.95-102). Rotterdam : Millpress.

The curvelet transform for fusion of very high resolution multispectral and panchromatic images

GARZELLI, ANDREA;
2006-01-01

Abstract

This paper presents a novel image fusion method, suitable for pan-sharpening of multispectral (MS) bands, based on multi-resolution analysis (MRA). The low-resolution MS bands are sharpened by injecting high-pass directional details extracted from the high-resolution panchromatic (Pan) image by means of the curvelet transform, which is a non-separable MRA, whose basis function are directional edges with progressively increasing resolution. The advantage with respect to conventional separable MRA, either decimated or not, is twofold: directional detail coefficients matching image edges may be preliminarily soft-thresholded to achieve denoising better than in the separable wavelet domain; modeling of the relationships between high-resolution detail coefficients of S bands and of the Pan image is more fitting, being carried out in a directional wavelet domain. Experiments carried out on a very-high resolution MS + Pan QuickBird image show that the proposed curvelet method quantitatively outperforms state-of-the art image fusion methods, in terms of geometric, radiometric, and spectral fidelity.
2006
90-5966-042-0
Alparone, L., Baronti, S., Garzelli, A., Nencini, F. (2006). The curvelet transform for fusion of very high resolution multispectral and panchromatic images. In Global Developments in Enviromental Earth Observation from space (pp.95-102). Rotterdam : Millpress.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/13694
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