MetaBoost: A Novel Heterogeneous DCNNs Ensemble Network With Two-Stage Filtration for SAR Ship Classification
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DOI: 10.1109/lgrs.2022.3180793
Abstract: Current synthetic aperture radar (SAR) ship classification research mainly focuses on modifying deep convolutional neural networks (DCNNs) and injecting manual features on DCNNs. Yet, the weak robustness of individual models in high-risk scenarios makes it… read more here.
Keywords: sar ship; heterogeneous dcnns; two stage; ship classification ... See more keywords