2020
DOI: 10.48550/arxiv.2012.09284
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Sparse Signal Models for Data Augmentation in Deep Learning ATR

Abstract: Automatic Target Recognition (ATR) algorithms classify a given Synthetic Aperture Radar (SAR) image into one of the known target classes using a set of training images available for each class. Recently, learning methods have shown to achieve state-of-the-art classification accuracy if abundant training data is available, sampled uniformly over the classes, and their poses. In this paper, we consider the task of ATR with a limited set of training images. We propose a data augmentation approach to incorporate d… Show more

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