Adaptive nonlinear vector filtering of multichannel radar images

Vladimir V. Lukin; Alexander A. Zelensky; Andrei A. Kurekin; Jaakko T. Astola; Kari P. Saarinen

doi:10.1117/12.285553

19 September 1997 Adaptive nonlinear vector filtering of multichannel radar images

Vladimir V. Lukin, Alexander A. Zelensky, Andrei A. Kurekin, Jaakko T. Astola, Kari P. Saarinen

Proceedings Volume 3119, Multispectral Imaging for Terrestrial Applications II; (1997) https://doi.org/10.1117/12.285553
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

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.

Citation Download Citation

Vladimir V. Lukin, Alexander A. Zelensky, Andrei A. Kurekin, Jaakko T. Astola, and Kari P. Saarinen "Adaptive nonlinear vector filtering of multichannel radar images", Proc. SPIE 3119, Multispectral Imaging for Terrestrial Applications II, (19 September 1997); https://doi.org/10.1117/12.285553

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