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Electronic Data Center

Telecommunications and Radio Engineering

 

ISSN for PRINT: 0040-2508

Institutional price:

$4518.00

Issues per year:

20

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Best Paper Award Selection - Editorial Board Site

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2001, Volume56

Issue 12

  110 pages  

   

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Issue price - $197.00  

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  • Robust Algorithms of Noise Filtration for Radar Image Processing
  • Victor Filippovich Kravchenko
    Institute of Radio Engineering and Electronics, Russian Academy of Sciences, Moscow, Russia

    Aleksey Boleslavovich Pogrebnyak
    Cand. Sci. (Eng.), Major Scientific Researcher in the State Airspace University (Kharkov Aviation Institute), Ukraine

    Vladimir Il'ich Ponomarev
    State Airspace University (Kharkov Aviation Institute), Ukraine; and National Polytechnic Institute, Mexico


    ABSTRACT

    Novel robust filtration algorithms applicable to radar image processing are proposed. They were designed using the theory of robust point estimators combining rank estimators (R-estimators) and robust maximum likelihood estimators (M-estimators). The RM-filters designed enhance the quality of radar images, providing effective speckle suppression, impulsive noise removal, and edge preservation. Simulated images and remote sensing data demonstrate the properties of the proposed algorithms. It is shown that the proposed filters provide good visual quality of the images processed and have advantages in the ME sense in comparison to the standard filters when the noise level is high.

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