In this paper, a feedback training approach for efficiently dealing with distribution shift in
synthetic aperture radar target detection using a Bayesian convolutional neural network is …

В статье рассматривается возможность по оценке полноты радиолокационных
данных, получаемых в результате дистанционного зондирования воздушных точечных …

This paper describes the development and testing of low cost Inverse Synthetic Aperture
Radar (ISAR) turn table system with a machine learning back-end. The ISAR sensor is …

Many studies have suggested that a fully polarimetric radar or a bistatic radar can improve
the classification and recognition of airborne targets due to enhanced target information …

I would firstly like to thank my supervisor, Dr DJ Ludick, and co-supervisor, Dr M. Potgieter,
for their continued help and guidance throughout this project. I appreciate you making time …

In the article considers the estimation of completeness of radar data that obtained by the
reflected signal from air spot targets as result of remote sensing. The feature space analyses …

Many studies have suggested that bistatic radar can improve the classification and
recognition of airborne targets due to enhanced target information. This paper makes use of …

Studies investigating the recognition of airborne targets usually focus on fighter aircraft
and/or commercial aircraft, which tend to be physically large targets with a variety of …