The curvelet transform for fusion of very-high resolution multispectral and panchromatic images (Contributo in atti di convegno)

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  • The curvelet transform for fusion of very-high resolution multispectral and panchromatic images (Contributo in atti di convegno) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Alternative label
  • L. Alparone, S. Baronti, A. Garzelli, F. Nencini (2006)
    The curvelet transform for fusion of very-high resolution multispectral and panchromatic images
    in 25th EARSeL Symposium, Porto, 6-11 June 2005
    (literal)
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  • L. Alparone, S. Baronti, A. Garzelli, F. Nencini (literal)
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  • 95 (literal)
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  • 102 (literal)
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  • Rotterdam (literal)
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  • Global Developments in Environmental Earth Observation from Space (literal)
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  • L. Alparone, S. Baronti, A. Garzelli, F. Nencini (literal)
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  • p. 95-102, Millpress Rotterdam Netherlands (literal)
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  • Alparone L.: Università di Firenze Garzelli A., Nencini F.: Università di Siena (literal)
Titolo
  • The curvelet transform for fusion of very-high resolution multispectral and panchromatic images (literal)
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  • Global Developments in Environmental Earth Observation from Space (literal)
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  • 90-5966-042-0 (literal)
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  • André Marcal (literal)
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  • Catalogo (literal)
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 MS 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 (literal)
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