Multiresolution fusion of multispectral and panchromatic images through the curvelet transform (Contributo in atti di convegno)

Type
Label
  • Multiresolution fusion of multispectral and panchromatic images through the curvelet transform (Contributo in atti di convegno) (literal)
Anno
  • 2005-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/IGARSS.2005.1525659 (literal)
Alternative label
  • A. Garzelli, F. Nencini, L. Alparone, S. Baronti (2005)
    Multiresolution fusion of multispectral and panchromatic images through the curvelet transform
    in IGARSS 2005, Seoul - Korea, 25-29 July 2005
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • A. Garzelli, F. Nencini, L. Alparone, S. Baronti (literal)
Pagina inizio
  • 2838 (literal)
Pagina fine
  • 2841 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Proc. IEEE International Geoscience and Remote Sensing Symposium, Seoul, Korea, 25–29 Jul. 2005, vol. 4, pp. 2838-2841. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Geoscience and Remote Sensing Symposium, 2005. IGARSS 2005. IEEE International. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 4 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Nencini: Università di Siena, Dip. Ingegneria dell'Informazione (literal)
Titolo
  • Multiresolution fusion of multispectral and panchromatic images through the curvelet transform (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 0-7803-9050-4 (literal)
Abstract
  • This paper presents a novel image fusion method, suitable for pan-sharpening of multispectral (MS) bands, based on multiresolution analysis (MRA). The low-resolution MS bands are sharpened by injecting highpass directional details extracted from the high-resolution panchromatic (Pan) image by means of the curvelet transform, which is a nonseparable 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 softthresholded to achieve denoising better than in the separable wavelet domain; modeling of the relationships between highresolution 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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