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News/A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar
arxiv
PublishedJuly 30, 2026 at 4:00 AM
—neutral

A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar

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arXiv:2607.23770v3 Announce Type: replace Abstract: In this work we study Automatic Target Recognition (ATR) for Synthetic Aperture Sonar (SAS) data with a focus on deep neural networks (DNNs). The main challenge in training DNNs for SAS-ATR arises from the limited quantity of labeled target example

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