Due to the advantages of Synthetic Aperture Radar (SAR), the study of Automatic Target
Recognition (ATR) has become a hot topic. Deep learning, especially in the case of a …

Military, agricultural, and urban planning have all made extensive use of SAR/ISAR in the
realm of remote sensing. SAR/ISAR images are more capable of identifying the details of the …

The efficiency and accuracy of target recognition in synthetic aperture radar (SAR) imagery
have seen significant progress lately, stemming from the encouraging advancements of …

Three-dimensional (3D) imaging radar is an advanced sensor applied in space surveillance
and target recognition for supplying 3D geometric features and supporting visualization …

Generative adversarial networks (or GANs) are a specific deep learning architecture often
used for different usages, such as data generation or image-to-image translation. In recent …

This paper focuses on generating Inverse Synthetic Aperture Radar (ISAR) images from
optical images, in particular, for orbit space targets. ISAR images are widely applied in …

Synthetic aperture radar (SAR) is prevalent in the remote sensing field but is difficult to
interpret by human visual perception. Recently, SAR-to-optical (S2O) image conversion …

Deceptive jamming techniques against Synthetic Aperture Radar (SAR) are crucial for
defending against hostile SAR reconnaissance and safeguarding our sensitive targets and …

Collecting large-scene synthetic aperture radar (SAR) images with targets of interest (TOI)
has been a challenging task. To embed TOI slices into measured large scenes can be a …

The detection and recognition of ships holds crucial significance across various domains,
including transportation, fishing, smuggling prevention, and rescue operations. To achieve …