De-speckling of SAR imagery based on multi-resolution analysis: a comparison of ML and MAP estimators (Contributo in atti di convegno)

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  • De-speckling of SAR imagery based on multi-resolution analysis: a comparison of ML and MAP estimators (Contributo in atti di convegno) (literal)
Anno
  • 2005-01-01T00:00:00+01:00 (literal)
Alternative label
  • L. Alparone, F. Argenti, M. Bianchini, N. Rovai, B. Aiazzi, S. Baronti (2005)
    De-speckling of SAR imagery based on multi-resolution analysis: a comparison of ML and MAP estimators
    in 2004 Envisat & ERS Symposium, Salisburgo - Austria, 6-10 Settembre 2004
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • L. Alparone, F. Argenti, M. Bianchini, N. Rovai, B. Aiazzi, S. Baronti (literal)
Pagina inizio
  • 289 (literal)
Pagina fine
  • 294 (literal)
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  • Proc. 2004 Envisat & ERS Symposium, Salzburg, Austria, 6-10 Sep. 2004, ESA Special Publication No. 572, pp. 253-258, Apr. 2005. (literal)
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  • http://earth.esa.int/workshops/salzburg04/papers_posters/2P06_3_alparone_253.pdf (literal)
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  • Proceedings of the 2004 Envisat & ERS Symposium (literal)
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  • SP-572 (literal)
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  • SP-572 (literal)
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  • Reperibile presso il sito: http://earth.esa.int/workshops/salzburg04/papers_posters/2P06_3_alparone_253.pdf (literal)
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  • 6 (literal)
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  • Scopu (literal)
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  • IFAC-CNR Università degli Studi di Firenze - Dipartimento Ingegneria (literal)
Titolo
  • De-speckling of SAR imagery based on multi-resolution analysis: a comparison of ML and MAP estimators (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 92-9092-883-2 (literal)
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  • H. Lacoste, L. Ouwehand (literal)
Abstract
  • In this paper, Generalised Gaussian PDFs are tailored to wavelet detail coefficients of both reflectivity and speckled intensity images. A MAP solution is derived from statistics calculated in the image domain by exploiting the fact that undecimated wavelet coefficients are given by convolving the image with a linear shift-invariant equivalent filter. Extensive experiments and comparisons demonstrate that, though theoretically and procedurally different, the ML and MAP undecimated wavelet-domain estimators yield comparable ENIL on simulated data, with a computational complexity of the MAP approach several times greater than that of ML filtering. However, on true SAR images the novel MAP filter visually outperforms the former ML filter, specifically concerning texture restoration and preservation of point targets. (literal)
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