Advantages of Laplacian pyramids over \"a trous\" wavelet transforms for pansharpening of multispectral images (Contributo in atti di convegno)

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  • Advantages of Laplacian pyramids over \"a trous\" wavelet transforms for pansharpening of multispectral images (Contributo in atti di convegno) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1117/12.976298 (literal)
Alternative label
  • Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli, Massimo Selva (2012)
    Advantages of Laplacian pyramids over "a trous" wavelet transforms for pansharpening of multispectral images
    in SPIE Remote Sensing 2012: Image and Signal Processing for Remote Sensing XVIII, Edimburgo, Regno Unito, 24-27 Settembre 2012
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli, Massimo Selva (literal)
Pagina inizio
  • 1 (literal)
Pagina fine
  • 10 (literal)
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  • http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1388636 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of SPIE Remote Sensing 2012: Image and Signal Processing for Remote Sensing XVIII (literal)
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  • 8537 (literal)
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  • 8537 (literal)
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  • 10 (literal)
Note
  • Google Scholar (literal)
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  • \"Nello Carrara\" Institute of Applied Physics, Research Area of Florence, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy Department of Electronics & Telecommunications, University of Florence, Via Santa Marta 3, 50139 Florence, Italy \"Nello Carrara\" Institute of Applied Physics, Research Area of Florence, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy Department of Information Engineering, University of Siena, Via Roma 56, 53100 Siena, Italy \"Nello Carrara\" Institute of Applied Physics, Research Area of Florence, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy (literal)
Titolo
  • Advantages of Laplacian pyramids over \"a trous\" wavelet transforms for pansharpening of multispectral images (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • L. Bruzzone (literal)
Abstract
  • The advantages provided by the generalized Laplacian pyramid (GLP) over the widespread \"`a trous\" wavelet (ATW) transform for multispectral (MS) pansharpening based on multiresolution analysis (MRA) are investigated. The most notable difference depends on the way GLP and ATW deal with aliasing possibly occurring in the MS data, which is originated by insufficient sampling step size, or equivalently by a too high amplitude value of the modulation transfer function (MTF) at Nyquist frequency and may generate annoying jagged patterns that survive in the sharpened image. In this paper, it is proven that GLP is capable of compensating the aliasing of MS, unlike ATW, and analogously to component substitution (CS) fusion methods, thanks to the decimation and interpolation stages present in its flowchart. Experimental results will be presented in terms of quality/distortion global score indexes (SAM, ERGAS and Q4) for increasing amounts of aliasing, measured by the amplitude at Nyquist frequency of the Gaussian-like lowpass filter simulating the average MTF of the individual spectral channels of the instrument. GLP and ATW-based methods, both using the same MTF filters and the same global injection gain, will be compared to show the advantages of GLP over ATW in the presence of aliasing of the MS bands. (literal)
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