Telecommunications and Radio Engineering

ISSN for PRINT: 0040-2508

For Online Access

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2002, Volume58

Issue 1&2

154 pages

Issue price - $394.00

A. A. Zelensky
A. Usikov Institute of Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12, Academician Proskura St., Kharkov; and National Aerospace University (Kharkov Aviation Institute), 17, Chkalov St.., Kharkov, Ukraine

G. P. Kulemin
A. Usikov Institute of Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12, Academician Proskura St., Kharkov 61085, Ukraine

A. A. Kurekin
A. Usikov Institute of Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12, Academician Proskura St., Kharkov 61085, Ukraine

V. V. Lukin
Department of Transmitters, Receivers and Signal Processing, National Aerospace University, Chkalova Str. 17, 61070 Kharkiv, Ukraine

O. V. Tsymbal
A. Usikov Institute of Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12, Academician Proskura St., Kharkov 61085, Ukraine

A modified vector sigma-filter (MVSF) is presented designed for the processing of multichannel radar images. Based on the standard filtration quality-estimation criteria it is shown that the modification ensures a compromise between the basic properties of the filter. Having a sufficient stability as to disturbances, the MVSF allows substantially suppressing the multiplicative noise and ensuring the preservation of boundaries and of small-sized objects even at relative feeble contrasts. On the test images it is shown that, when evaluating the erodibility of a soil without vegetation, the use of the MVSF (instead of its scalar analog and original image classification) leads to the increase of the accuracy of remote-sensing data classification.

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