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

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

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 …

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

We propose a decision fusion method of Sparse Representation (SR) and Support Vector
Machine (SVM) for Synthetic Aperture Radar (SAR) image target recognition in this paper …

This paper proposes an automatic target recognition of synthetic aperture radar image by
joint classification of multiresolution representations with discrimination analysis. The …

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 …

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 …

In this paper, we introduce a novel joint sparse representation based automatic target
recognition (ATR) method using multiple views, which can not only handle multi-view ATR …

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