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 multiview synthetic aperture radar (SAR) target recognition with discrimination and
correlation analysis is proposed in this study. The multiple views are first prescreened by a …

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 …

ABSTRACT A multi-criteria sparse representation-based classification (SRC) is developed
for synthetic aperture radar (SAR) target recognition. The sparse representation is first …

A synthetic aperture radar (SAR) target recognition method combining multiple features and
multiple classifiers is proposed. The Zernike moments, kernel principal component analysis …

This letter proposes a synthetic aperture radar (SAR) target recognition method via joint
classification of deep features fused by multi-canonical correlation analysis (MCCA). A …

This letter presents a target recognition method for synthetic aperture radar (SAR) images by
exploiting the multi-resolution information. For the training samples, images with lower …

For the synthetic aperture radar (SAR) automatic target recognition problem, we propose a
multiview method based on adaptive decision fusion. Considering the possible …

This study proposes a synthetic aperture radar (SAR) target recognition method via sparse
representation of multi-view images with correlation analysis. The multi-view SAR images …

In this paper, we present a Synthetic Aperture Radar (SAR) image target recognition
algorithm based on multi-feature multiple representation learning classifier fusion. First, it …