Deep Convolutional Highway Unit Network for SAR Target Classification With Limited Labeled Training Data
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DOI: 10.1109/lgrs.2017.2698213
Abstract: The deep convolutional neural network (CNN) has been widely used for target classification, because it can learn highly useful representations from data. However, it is difficult to apply a CNN for synthetic aperture radar (SAR)… read more here.
Keywords: classification; target classification; training data; unit ... See more keywords