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

Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …

Usually radar target recognition methods only use a single type of high-resolution radar
signal, eg, high-resolution range profile (HRRP) or synthetic aperture radar (SAR) images. In …

Driven by the good classification performance of the convolutional neural network (CNN),
this study proposes a CNN-based synthetic aperture radar (SAR) target recognition method …

Recent research has shown that spatial-spectral information can help to improve the
classification of hyperspectral images (HSIs). Therefore, three-dimensional convolutional …

With powerful feature representations, convolutional neural networks (CNNs) have
produced tremendous achievements in image classification tasks and, typically, entail …

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 …

Remote sensing images acquired by different sensors exhibit different characteristics due to
their distinct imaging mechanisms. The fusion of Synthetic Aperture Radar (SAR) and optical …

In this paper, we propose a novel approach to recognize radar targets on inverse synthetic
aperture radar (ISAR) and synthetic aperture radar (SAR) images. This approach is based …

Speckle is an unavoidable noise-like phenomenon in Synthetic Aperture Radar (SAR)
imaging. In order to remove speckle, many despeckling methods have been proposed …