Semisupervised Learning-Based SAR ATR via Self-Consistent Augmentation
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DOI: 10.1109/tgrs.2020.3013968
Abstract: In synthetic aperture radar (SAR) automatic target recognition, it is expensive and time-consuming to annotate the targets. Thus, training a network with a few labeled data and plenty of unlabeled data attracts attention of many… read more here.
Keywords: consistent augmentation; learning based; loss; augmentation ... See more keywords