Radar image modeling and recognition

Nikolay L. Kazanskiy; Vladimir A. Fursov; Evgeny Minaev; Denis Zherdev

doi:10.1117/12.2566467

22 May 2020 Radar image modeling and recognition

Nikolay L. Kazanskiy, Vladimir A. Fursov, Evgeny Minaev, Denis Zherdev

Proceedings Volume 11516, Optical Technologies for Telecommunications 2019; 115161J (2020) https://doi.org/10.1117/12.2566467
Event: XVII International Scientific and Technical Conference "Optical Technologies for Telecommunications", 2019, Kazan, Russian Federation

Abstract

This article is devoted to the problems of radar sensing. Herein, we have considered the tasks of modeling and recognizing radar images. The modeling technology was based on the independent creation of terrain models and objects, which were then integrated into a three-dimensional (3D) scene. This approach enabled the operative creation of a number of image variants of different classes. Recognition methods and algorithms were based on the use of the so-called conjugacy index as a measure of proximity. At the same time, support subspaces of the minimum dimension were formed by vectors, components of which were samples of the radar image. Problems of higher accuracy of recognition due to a division of classes into subclasses and a combination of the support subspace method with the neural convolutional networks were considered.

Citation Download Citation

Nikolay L. Kazanskiy, Vladimir A. Fursov, Evgeny Minaev, and Denis Zherdev "Radar image modeling and recognition", Proc. SPIE 11516, Optical Technologies for Telecommunications 2019, 115161J (22 May 2020); https://doi.org/10.1117/12.2566467

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