Classification of ISAR Ship Imagery Using Transfer Learning

Inverse synthetic aperture radar (ISAR) is a common radar imaging technique used to characterize and classify non-cooperative targets. Traditional classification approaches use geometric features extracted from the images of known targets to form a training dataset that is later used to classify an...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems 2024-02, Vol.60 (1), p.25-36
Hauptverfasser:	Rosenberg, Luke, Zhao, Weiliang, Heng, Anthony, Hamey, Len, Nguyen, Si Tran, Orgun, Mehmet A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Automatic ship classification Classification Convolutional neural networks Datasets Deep learning Feature extraction Image classification Imaging techniques Inverse synthetic aperture radar inverse synthetic aperture radar (ISAR) imagery Machine learning Marine vehicles Neural networks Neurons Radar Radar imaging Training Transfer learning
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