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 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 …

The exploitation of multi-view synthetic aperture radar (SAR) images can effectively improve
the performance of target recognition. However, due to the various extended operating …

Automatic target recognition (ATR) of synthetic aperture radar (SAR) images is performed on
either global or local features. The global features can be extracted and classified with high …

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

This study introduces a target recognition algorithm for synthetic aperture radar (SAR)
images based on the features extracted by bidimensional empirical mode decomposition …

A synthetic aperture radar (SAR) target recognition method is proposed in this study based
on the dominant scattering area (DSA). DSA is a binary image recording the positions of the …

ABSTRACT A noise-robust target recognition method of synthetic aperture radar (SAR)
images is proposed based on attributed scattering center (ASC) matching. The ASCs are …

Azimuth sensitivity is a significant characteristic of synthetic aperture radar (SAR) images.
Most of the previous SAR target recognition algorithms try to cope with the property by pose …

This paper proposes a synthetic aperture radar (SAR) automatic target recognition (ATR)
method via hierarchical fusion of two classification schemes, ie, convolutional neural …