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Multiscale MAP filtering of SAR images.

Multiscale MAP filtering of SAR images. Research Abstract Details 

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  • Multiscale MAP filtering of SAR images. Abstract Text:

    s foucherS Foucher,g b benieG B Benie,j m boucherJ M Boucher,

    Synthetic aperture radar (SAR) images are disturbed by a multiplicative noise depending on the signal (the ground reflectivity) due to the radar wave coherence. Images have a strong variability from one pixel to another reducing essentially the efficiency of the algorithms of detection and classification. We propose to filter this noise with a multiresolution analysis of the image. The wavelet coefficient of the reflectivity is estimated with a Bayesian model, maximizing the a posteriori probability density function. The different probability density function are modeled with the Pearson system of distributions. The resulting filter combines the classical adaptive approach with wavelet decomposition where the local variance of high-frequency images is used in order to segment and filter wavelet coefficients.

    Multiscale MAP filtering of SAR images. Publishing Authors By Initials

    s foucherS Foucher,gb benieGB Benie,jm boucherJM Boucher,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    Multiscale MAP filtering of SAR images. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: IEEE transactions on image processing : a publicat

    VOLUME: 10

    Page Numbers: 49-60

    Journal Abbreviation:

    ISSN: 1057-7149

    DAY: 5

    MONTH: 02

    YEAR: 2001

    Multiscale MAP filtering of SAR images. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 9886191

    Multiscale MAP filtering of SAR images. Keywords Mesh Terms:

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    Grant and Affiliation Information for Multiscale MAP filtering of SAR images.

    AFFILIATION: Centre d'Applications et de Recherche en Teledetection, Sherbrooke Univ., Que.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: IEEE Trans Image Process

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