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Proceedings Paper

Adaptive nonlinear vector filtering of multichannel radar images
Author(s): Vladimir V. Lukin; Alexander A. Zelensky; Andrei A. Kurekin; Jaakko T. Astola; Kari P. Saarinen
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Paper Abstract

Here we consider the possibility of applying vector median filtering for joint processing of multichannel radar images. The goal is to correct distortions due errors in superimposing of channels. The proposed approach is a two-stage one. It takes into account the difference between statistical characteristics of images formed by side-look aperture radar (SLAR) and synthetic aperture radar (SAR) and uses the correlation properties of the signal processed by vector filter. Image enhancement is achieved as many false edges are eliminated and contrast of true edges is increased. Filter properties are analyzed both with simulated test images and real radar data.

Paper Details

Date Published: 19 September 1997
PDF: 11 pages
Proc. SPIE 3119, Multispectral Imaging for Terrestrial Applications II, (19 September 1997); doi: 10.1117/12.285553
Show Author Affiliations
Vladimir V. Lukin, Kharkov Aviation Institute (Ukraine)
Alexander A. Zelensky, Kharkov Aviation Institute (Ukraine)
Andrei A. Kurekin, Kharkov Aviation Institute (Ukraine)
Jaakko T. Astola, Tampere Univ. of Technology (Finland)
Kari P. Saarinen, Visy oy (Finland)

Published in SPIE Proceedings Vol. 3119:
Multispectral Imaging for Terrestrial Applications II
Joan B. Lurie; Thomas Delaney, Editor(s)

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