Review of ground object classification algorithms on radar images

DOI: 10.21293/1818-0442-2025-28-4-57-71

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Abstract: This paper provides a review of quality metrics and algorithms for classifying ground objects on radar images. The principles of radar image formation are briefly outlined. Suitable metrics for binary and multi-class classification of objects on a radar image are determined. The computational costs of the classifi-cation algorithms are calculated. The most appropriate algo-rithms for solving the problem of classifying ground objects on radar images are determined.

Keywords: synthetic aperture radar, radar image, image classification, ground object recognition, neural networks, machine learning

For citation:
Veber V. I. Review of ground object classification algorithms on radar images. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2025, vol. 28, no. 4, pp. 57–71. DOI: 10.21293/1818-0442-2025-28-4-57-71

Authors and copyright holders:

  • Veber V. I. , Tomsk State University of Control Systems and Radioelectronics (Tomsk, Russia)

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