Automatic target recognition (ATR) for military applications is one of the core processes
toward enhancing intelligence and autonomously operating military platforms. Spurred by …

A synthetic aperture radar (SAR) target recognition approach is developed in this paper by
exploiting the multiscale monogenic components, which are extracted from SAR images …

For the synthetic aperture radar (SAR) target recognition problem, a method combining
multifeature joint classification and adaptive weighting is proposed with innovations in fusion …

Convolutional neural networks (CNN) now become one of the most popular methods in
synthetic aperture radar (SAR) target recognition. To fully exploit the deep features learned …

摘要针对多特征决策融合的合成孔径雷达(SAR) 的问题, 提出基于稀疏表示系数相关性的特征
选取方法. 采用稀疏表示分类(SRC) 分别对各单一特征进行系数矢量的求解并定义两个系数矢量 …

A synthetic aperture radar (SAR) target recognition method is proposed in this study based
on target outlines. To model the uncertainties of the target outline points caused by noises …

Radar is an electromagnetic device used to detect and determine the position of targets. The
most basic task of radar is to extract information about the target by measuring the …

To solve the problem of low recognition rate of synthetic aperture radar (SAR) target based
on feature recognition, a target recognition method of SAR image based on multi-feature …

Introduction: Recently, with the surge in the availability of relevant data in various industries,
the use of Information Fusion technique for data analysis is increasing. This method has …

A target recognition method for synthetic aperture radar (SAR) image based on complex
bidimensional empirical mode decomposition (C‐BEMD) is proposed. C‐BEMD is used to …