The extraction of a valuable set of features and the design of a discriminative classifier are
crucial for target recognition in SAR image. Although various features and classifiers have …

The monogenic signal, which is defined as a linear combination of a signal and its Riesz-
transformed one, provides a great opportunity for synthetic aperture radar (SAR) image …

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 …

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 …

In order to improve synthetic aperture radar (SAR) target recognition performance, this paper
proposes a novel method using multi-level deep features. The multi-level deep features are …

In this paper, the classification via sprepresentation and multitask learning is presented for
target recognition in SAR image. To capture the characteristics of SAR image, a …

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

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 …

Template-matching-based approaches have been developed for many years in the field of
synthetic aperture radar (SAR) automatic target recognition (ATR). However, the …

A synthetic aperture radar (SAR) target recognition method is proposed via linear
representation over the global and local dictionaries. The collaborative representation is …