Modified vector sigma filter and its application to color and multichannel remote sensing radar image processing

Andrei A. Kurekin; Vladimir V. Lukin; Alexander A. Zelensky; Jaakko T. Astola; Pertti T. Koivisto

doi:10.1117/12.365854

18 October 1999 Modified vector sigma filter and its application to color and multichannel remote sensing radar image processing

Andrei A. Kurekin, Vladimir V. Lukin, Alexander A. Zelensky, Jaakko T. Astola, Pertti T. Koivisto

Author Affiliations +

Proceedings Volume 3808, Applications of Digital Image Processing XXII; (1999) https://doi.org/10.1117/12.365854
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

A novel algorithm based on the sigma filter for processing multicomponent images is proposed. The noise suppression ability of the proposed vector filtering algorithm is better than, e.g., that of the standard sigma filter. Moreover, the added modifications make the filter able to remove impulsive noise. The proposed vector filter takes into account the mutual correlation between image components and preserves object edges and fine details even when the contrasts of the component images of multichannel data are low. The comparative analysis of filter performance is done both visually and using several quantitative criteria. Both simulated and real color and multichannel radar images are studied. It is shown that the modified vector sigma filter outperforms many component and vector filters. Two modifications are considered -- for cases of additive and multiplicative noise. Examples of the filter performance for processing real images formed by multipolarization/multifrequency side-look aperture radars are presented.

Citation Download Citation

Andrei A. Kurekin, Vladimir V. Lukin, Alexander A. Zelensky, Jaakko T. Astola, and Pertti T. Koivisto "Modified vector sigma filter and its application to color and multichannel remote sensing radar image processing", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365854

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