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  • Huber-Markov model for complex SAR image restoration
    Soccorsi, Matteo ; Gleich, Dušan ; Datcu, Mihai
    This letter presents the despeckling of single-look complex (SLC) synthetic aperture radar (SAR) images using nonquadratic regularization. The objective function consists of an image model, a ... gradient, and a prior model. The Huber-Markov random field (HMRF) models the prior. A numerical solution is achieved through extensions of half-quadratic regularization methods using complex-valued SAR data. The proposed method using the HMRF prior together with nonquadratic regularization shows the superior results on SLC synthetic and actual SAR images.
    Source: IEEE geoscience and remote sensing letters. - ISSN 1545-598X (Vol. 7, no. 1, jan. 2010, str. 63-67)
    Type of material - article, component part
    Publish date - 2010
    Language - english
    COBISS.SI-ID - 13424150
    DOI

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