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Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Imprimir: 0040-2508
ISSN On-line: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v56.i12.40
12 pages

Robust Algorithms of Noise Filtration for Radar Image Processing

Victor Filippovich Kravchenko
Kotelnikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences, 11-7, Mokhovaya St., Moscow 125009, Russia; Bauman Moscow State Technical University, 5, Vtoraya Baumanskaya St., Moscow 105005 Russia; Scientific and Technological Center of Unique Instrumentation, Russian Academy of Sciences, 15, Butlerova St., Moscow 117342, Russia
Aleksey Boleslavovich Pogrebnyak
Cand. Sci. (Eng.), Major Scientific Researcher in the State Airspace University (Kharkov Aviation Institute), Ukraine
Volodymyr Ponomaryov
Instituto Politécnico Nacional, Mexico-city, Mexico

RESUMO

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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