Zhurnal Radioelektroniki - Journal of Radio Electronics. eISSN 1684-1719. 2021. No. 3

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DOI https://doi.org/10.30898/1684-1719.2021.3.4

UDC 621.396




A. V. Kokoshkin

Fryazino Branch of Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences, Vvedensky Sq.1, Fryazino Moscow region 141190, Russia


The paper was received on March 7, 2021


Abstract: This article proposes an application of the method of renormalization with limitation (MRL) to suppress speckle noise in SAR images. This is because the method of renormalization with limitation, by its definition, renormalizes the SAR image spectrum to a universal reference spectrum (URS) model, which is a "good" quality grayscale spectrum model.  To increase the overall sharpness of the image, consistently with the MRL, it is proposed to apply the classical Laplacian. This study allows us to conclude that the application of MRL to SAR images can significantly reduce speckle noise.

Key words: synthetic aperture radar, remote sensing, SAR images, image processing, speckle noise, method of renormalization with limitation.


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For citation:

Kokoshkin A.V. Application of the method of renormalization with limitation to remote sensing images obtained with synthetic aperture radars. Zhurnal Radioelektroniki [Journal of Radio Electronics]. 2021. No.3. https://doi.org/10.30898/1684-1719.2021.3.4   (In Russian)