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

With the continuous development of the convolutional neural network (CNN) concept and
other deep learning technologies, target recognition in Synthetic Aperture Radar (SAR) …

Automatic target recognition (ATR) in synthetic aperture radar (SAR) images has been
widely used in civilian and military fields. Traditional model-based methods and template …

The inherent unknown deformations of inverse synthetic aperture radar (ISAR) images, such
as translation, scaling, and rotation, pose great challenges to space target classification. To …

Attitude estimation for space targets based on inverse synthetic aperture radar (ISAR) is
essential for various on-orbit operations, including spacecraft status analysis and fall …

To tackle the inherent unknown deformation (eg, translation, rotation and scaling) of the
inverse synthetic aperture radar (ISAR) images, a deep polar transformer-circular …

With the improvement and development of intelligent robot technology, such technology is
gradually used to improve the intelligence of national sports fitness. The study aims to …

The synthetic aperture radar (SAR) is very useful in both military and civilian applications
due to its 24/7, all-weather, and high resolution capabilities, as well as its ability to recognize …

Feature extraction is the key step of Inverse Synthetic Aperture Radar (ISAR) image
recognition. However, limited by the cost and conditions of ISAR image acquisition, it is …

Pointing estimation for spacecraft using Inverse Synthetic Aperture Radar (ISAR) images
plays a significant role in space situational awareness and surveillance. However, feature …