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

Due to the advantages of Synthetic Aperture Radar (SAR), the study of Automatic Target
Recognition (ATR) has become a hot topic. Deep learning, especially in the case of a …

General synthetic aperture radar (SAR) image automatic target recognition (ATR) methods
perform well under standard operation conditions (SOCs). However, they are not effective in …

Due to the existence of unfavorable factors such as turbid water quality and target occlusion,
it is difficult to obtain valid data of target features. Due to the repeated calculation of similar …

Abstract Synthetic Aperture Radar (SAR) target classification methods based on
convolutional neural networks have attracted wide attention recently. Typically, these …

There are some problems in the current human motion target gesture recognition algorithms,
such as classification accuracy, overlap ratio, low recognition accuracy and recall, and long …

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

As one of the key steps in synthetic aperture radar (SAR) target classification, feature
extraction plays an important role. In this study, the multi-level dominant scattering images …

To handle synthetic aperture radar (SAR) image target recognition problem, a multi-view
method is proposed. For the multi-view SAR images be recognized, they are first clustered …

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 …