A.F. Kryachko1, M.A. Kryachko2, A.V. Medzigov3

1–3 St. Petersburg State University of Aerospace Instrumentation (St. Petersburg, Russia)

2 JSC «Lukoil-Technologies» (Moscow, Russia)

3 FGUP «GosNIIPP » (St. Petersburg, Russia)

1 alex_k34.ru@mail.ru, 2 mike_kr@mail.ru, 3 medzigov@ya.ru

The widespread use of radar imaging (RLI) significantly simplifies many business processes, making the analyzed information visual for the tasks of the Ministry of Emergency Situations, geological exploration, navigation and Arctic research. The role of radar in military use is also significant and difficult to overestimate. The purpose of the work is to compare compression algorithms based on trigonometric functions (JPEG), wavelets (JPEG2000) and functions with a compact Kravchenko-Rvachev carrier and to develop a mechanism for controlling image quality losses.

The analysis of image compression methods using lossless or lossy algorithms and comparison of compression algorithms based on trigonometric functions (JPEG), wavelets (JPEG2000) and functions with a compact Kravchenko–Rvachev carrier are carried out. A method of discrete atomic transformation based on wavelets based on Kravchenko–Rvachev functions is proposed. The mechanism of image quality loss control based on a uniform metric determined by the maximum absolute deviation (U-metric) based on the use of the concept of the diameter of A.N. is considered. Kolmogorov, the RMS metric and the ratio of peak signal to noise. The experiments have shown that using an algorithm based on range and azimuth compression (decompression) to restore the image allows you to restore the original image (with distortions) even if 80% of the radio hologram data is missing or damaged, and in the case of a change of 20-40% of the hologram, the image is restored in a form accessible to its perception by an expert.The results obtained showed that the degree of image restoration, i.e. the amount of meaningful information retained after the algorithm is executed, practically does not depend on the location of the modified area of the hologram (beginning, middle or end). During the experiments, it was confirmed that the algorithm based on range and azimuth compression has a high speed of operation – this is one of the criteria for choosing a recovery algorithm.

Kryachko A.F., Kryachko M.A., Medzigov A.V. Algorithms for processing data generated by optical and radar equipment of spacecraft of satellite Earth remote sensing systems. Achievements of modern radioelectronics. 2024. V. 78. № 8. P. 44–55. DOI: https://doi.org/10.18127/j20700784-202408-08 [in Russian]

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