Spectral information extraction from very high resolution images through multiresolution fusion (Invited Paper) (Contributo in atti di convegno)

Type
Label
  • Spectral information extraction from very high resolution images through multiresolution fusion (Invited Paper) (Contributo in atti di convegno) (literal)
Anno
  • 2004-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1117/12.606098 (literal)
Alternative label
  • L. Alparone, B. Aiazzi, S. Baronti, A. Garzelli, F. Nencini, M. Selva (2004)
    Spectral information extraction from very high resolution images through multiresolution fusion (Invited Paper)
    in Proc. SPIE Remote Sensing Europe 2004, Gran Canaria, Spain, 12-17 Settembre 2004
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • L. Alparone, B. Aiazzi, S. Baronti, A. Garzelli, F. Nencini, M. Selva (literal)
Pagina inizio
  • 1 (literal)
Pagina fine
  • 8 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Invited paper. Volume pubblicato nel Novembre 2004. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=851127 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of SPIE Remote Sensing Europe 2004, Image and Signal Processing for Remote Sensing X (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 5573 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 5573 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • SPIE Vol. 5573, Image and Signal Processing for Remote Sensing X, L. Bruzzone (Ed.), pp. 1-8, Nov. 2004 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 8 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Filippo Nencini: Dip. Ingegneria dell'Informazione, Univ. di Siena (literal)
Titolo
  • Spectral information extraction from very high resolution images through multiresolution fusion (Invited Paper) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 0-8194-5520-2 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • L. Bruzzone (literal)
Abstract
  • This paper critically reviews state-of-the-art and advanced methods for multispectral (MS) and panchromatic (Pan) image fusion based on either intensity-hue-saturation (IHS) transformation, or redundant multiresolution analysis (MRA). In either cases, lower-resolution MS bands are sharpened by injecting details taken from the higher-resolution Pan image. Crucial point is modeling the relationships between detail coefficients of a generic MS band and the Pan image at the same resolution. Once calculated at the coarser resolution, where both types of data are available, such a model shall be extended to the finer resolution to weight the Pan details to be injected. Two injection models embedded in an \"a trous\" wavelet decomposition will be compared on a test set of very high resolution QuickBird MS+Pan data. One works on approximations and provides a partial unmixing of coarse MS pixels via high-resolution Pan. Another is based on spectral fidelity of original and merged MS data. Fusion comparisons on spatially degraded data, whose high-resolution MS originals are available for reference, show that the former performs better than the latter, in terms of both spatial and spectral fidelity. (literal)
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