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Training neural networks for automatic target recognition requires large volumes of sample data. SAR images are expensive to collect and there are very few open datasets available. This paper presents a simulation pipeline suitable for generating synthetic training data.

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This page is a summary of: Synthetic Aperture Radar Automatic Target Classification Processing Concept, Electronics Letters, September 2019, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/el.2019.2389.
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