Radar can obtain high spatial resolution at large operating distances, and its operation is
largely independent from weather and lighting conditions. This makes it an important …

For synthetic aperture radar (SAR) imaging, the irregular loss of received data and the
nonuniformly under sampling yield the SAR azimuth ambiguity (SAA) resulting in the …

Although the deep convolutional neural network (DCNN) has been successfully applied to
automatic target recognition (ATR) of ground vehicles based on synthetic aperture radar …

Building information extraction utilizing remote sensing technology has vital applications in
many domains, such as urban planning, cadastral mapping, geographic information …

For sparse aperture (SA) radar echoes, the coherence between the undersampled pulses is
destroyed, which challenges the effectiveness of the traditional autofocusing and scaling in …

In the case of a stepped-frequency waveform (SFW) inverse synthetic aperture radar (ISAR)
system, the translational motion (TM) of a target can be usually divided into two parts: 1) …

Ground moving target imaging (GMTIm) is considered one of the most important applications
of synthetic aperture radar (SAR). Phase modulation from a moving target's higher-order …

In this paper, a synthetic aperture radar (SAR) change detection approach is proposed
based on a structural similarity index measure (SSIM) and multiple-window processing …

For synthetic aperture radar (SAR) imaging, the compressive sensing (CS) coupled with total
variation (TV)-based algorithm is known as an effective focusing technique using under …

Inverse synthetic aperture radar (ISAR) is a coherent imaging system formed by conducting
signal processing on the received data consisting of radar cross section reflected from a …