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

In this study, predictions by leading network technology companies and current literature on
5 G technologies have been investigated to shed a light on the foreseeable future of the …

This article proposes a multiscale convolutional neural network (CNN) based on component
analysis (CA-MCNN) for synthetic aperture radar (SAR) automatic target recognition (ATR) …

Synthetic aperture radar (SAR) image target recognition has consistently been a research
hotspot in the field of radar image interpretation. Compared with traditional target recognition …

This paper presents an approach for attributed scattering center (ASC) matching with
application to synthetic aperture radar (SAR) automatic target recognition (ATR). A statistics …

Highlights•Hyperspectral imaging combined with deep learning method produces a
promising technique to identify hybrid okra seeds.•Deep learning showed the superior …

This paper proposes a robust similarity measure for two attributed scattering center (ASC)
sets and applies it to synthetic aperture radar (SAR) automatic target recognition (ATR). The …

Automatic target recognition (ATR) in synthetic aperture radar (SAR) images plays an
important role in both national defense and civil applications. Although many methods have …

This paper proposes a robust synthetic aperture radar (SAR) automatic target recognition
method based on the 3-D scattering center model. The 3-D scattering center model is …

Although numerous methods based on sequence image classification have improved the
accuracy of synthetic-aperture radar (SAR) automatic target recognition, most of them only …