Convolutional Neural Network-Based Dictionary Learning for SAR Target Recognition

IEEE Geoscience and Remote Sensing Letters(2021)

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摘要
In this letter, a novel convolutional neural network (CNN)-based dictionary learning (DL) method is proposed for synthetic aperture radar (SAR) target recognition. Different from conventional target recognition schemes, which consist of the hand-crafted feature extraction followed by a classifier, the proposed scheme utilizes a well-designed ConvNet as the feature extractor, and it can automatical...
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关键词
Feature extraction,Synthetic aperture radar,Target recognition,Dictionaries,Task analysis,Convolution,Image recognition
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