The energy compaction and multiresolution properties of wavelets have made the image
fusion successful in combining important features such as edges and textures from source …

Automatic target recognition (ATR) is an important part for many computer vision
applications. Despite the extensive research which has been carried out in this area for …

Inverse synthetic aperture radar (ISAR) images are often used for classifying and
recognizing targets. Moreover, the use of fully polarimetric ISAR (Pol-ISAR) images …

Automatic target recognition (ATR) is generally the reason why inverse synthetic aperture
radar (ISAR) imaging systems are employed. Moreover, the use of fully polarimetric radar …

Inverse synthetic aperture radar (ISAR) technique provides high‐resolution images of
observed moving objects. However, shadow‐occluded effects and noise, which results in …

This paper is devoted to the study of an automatic target recognition method to classify
Inverse Synthetic Aperture Radar (ISAR) images of moving targets. 2-D ISAR imagery …

In practical inverse synthetic aperture radar (ISAR) imaging application, the data received by
the radar is incomplete, which is called sparse aperture (SA) data. Sparse recovery (SR) …

Automatic target recognition (ATR) is generally the reason why ISAR imaging systems are
employed. Moreover, the use of fully polarimetric radar systems in radar imaging …

Abstract Inverse Synthetic Aperture Radar (ISAR) is a coherent radar technique capable of
generating images of noncooperative targets. ISAR may have better performance in adverse …

In this paper, we propose a new Automatic Target Recognition (ATR) system, based on
Deep Convolutional Neural Network (DCNN), to detect the targets in Forward Looking …