Synthetic aperture radar (SAR) systems are pivotal in remote sensing, offering high-resolution imaging capabilities under diverse environmental conditions. This study introduces an optimal algorithm for SAR raw data processing, addressing the stochastic nature of surface scattering. By modeling the complex scattering coefficient as a random spatial process it is propose a statistically optimized signal processing framework. A key innovation is the incorporation of a decorrelation operation, which increases statistically independent samples, mitigates speckle noise, and enhances image quality. Simulation results demonstrate superior performance over conventional methods across multiple image quality metrics. The proposed algorithm improves radar cross section estimation, offering enhanced resolution and clarity for complex surfaces. This advancement holds significant potential for applications in Earth observation, geohazard monitoring, and structural analysis.
Paper presented at the CEUR Workshop Proceedings of the 2nd International Workshop on Computational Methods in Systems Engineering 2025 (CMSE 2025)
Volume
3981
Year of publishing
2025
Citation
DSTU
Pavlikov V., Volosyuk V., Zhyla S., Dergachov K., Havrylenko O., Averyanova Yu., Popov A., Ostroumov I.V., Ruzhentsev N., Tserne E., Nikitina T., Shmatko O., Kuzmenko N.S., Sushchenko O., Zaliskyi M., Solomentsev O., Kuznetsov B.Optimal algorithm of SAR raw data processing for radar cross section estimation. Paper presented at the CEUR Workshop Proceedings of the 2nd International Workshop on Computational Methods in Systems Engineering 2025 (CMSE 2025). . № 3981. P. 170-181 DOI: 10.5281/zenodo.20787278 .
IEEE
V. Pavlikov et al., "Optimal algorithm of SAR raw data processing for radar cross section estimation," in Paper presented at the CEUR Workshop Proceedings of the 2nd International Workshop on Computational Methods in Systems Engineering 2025 (CMSE 2025), vol. 3981, , pp. 170-181 , doi:10.5281/zenodo.20787278.
Harvard
Pavlikov V., Volosyuk V., Zhyla S., Dergachov K., Havrylenko O., Averyanova Yu., Popov A., Ostroumov I.V., Ruzhentsev N., Tserne E., Nikitina T., Shmatko O., Kuzmenko N.S., Sushchenko O., Zaliskyi M., Solomentsev O., and Kuznetsov B., 2025, 6. Optimal algorithm of SAR raw data processing for radar cross section estimation. In Paper presented at the CEUR Workshop Proceedings of the 2nd International Workshop on Computational Methods in Systems Engineering 2025 (CMSE 2025), 3981 (pp. 170-181).
Springer
Pavlikov, V., Volosyuk, V., Zhyla, S., Dergachov, K., Havrylenko, O., Averyanova, Yu., Popov, A., Ostroumov, I.V., Ruzhentsev, N., Tserne, E., Nikitina, T., Shmatko, O., Kuzmenko, N.S., Sushchenko, O., Zaliskyi, M., Solomentsev, O., Kuznetsov, B.: Optimal algorithm of SAR raw data processing for radar cross section estimation. Paper presented at the CEUR Workshop Proceedings of the 2nd International Workshop on Computational Methods in Systems Engineering 2025 (CMSE 2025) 3981, 170-181 (2025). doi:10.5281/zenodo.20787278.
BibTex
@InProceedings{10,
title={Optimal algorithm of SAR raw data processing for radar cross section estimation},
author={Pavlikov, Volodymyr and Volosyuk, Valerii and Zhyla, Simeon and Dergachov, Kostiantyn and Havrylenko, Olena and Averyanova, Yuliya and Popov, Anatoliy and Ostroumov, Ivan and Ruzhentsev, Nikolay and Tserne, Eduard and Nikitina, Tatyana and Shmatko, Oleksandr and Kuzmenko, Nataliia and Sushchenko, Olha and Zaliskyi, Maksym and Solomentsev, Oleksandr and Kuznetsov, Borys},
year={2025},
booktitle={Ceur Workshop Proceedings},
volume = {3981},
issn = {1613-0073},
publisher={CEUR-WS},
editor={Voliansky, R. and Solomentsev, O. and Slimani, K.and Kuzmenko, N.},
pages = {170--181},
month = {June},
day = {12},
url = {https://ceur-ws.org/Vol-3981/paper15.pdf},
}
Ivan OSTROUMOV, DSc and PhD