Digital image processing domain is growing day-by-day by introducing novel technologies
to provide assistance for several applications such as robotic activities, underwater network …

This article extends the shadow tracking for video-synthetic aperture radar (SAR) from a
single-target framework to a multitarget framework, which is crucial for SAR ground moving …

Radar imaging based on orbital angular momentum (OAM) beams has become a significant
approach to realize high resolution and multidimensional target detection. The irradiation of …

Convolutional neural networks (CNNs) have superior feature learning capabilities with large
numbers of labeled samples. The reality is that labeling these samples is costly in terms of …

Synthetic aperture radar (SAR) as an imaging radar is capable of high‐resolution remote
sensing, independent of flight altitude, and independent of weather. Traditional SAR ship …

Aiming at the problems that most existing segmentation methods are difficult to deal with the
imbalance of remote sensing image distribution and the overlap of segmentation target …

Visual representation of synthetic images is very accurate, due to which it is difficult to
differentiate them for their natural counterparts. Existing models that perform this …

Aiming at the problems of high‐resolution remote sensing images with many features and
low classification accuracy using a single feature description, a remote sensing image land …

Abstract Differentiation between Natural and Synthetic imagery is a specialized area of
digital image processing that assists in identification of computer-generated entities. But due …

Digital image classification assists in distinguishing natural and synthetic images to detect
computer-generated objects. However, CGI improvements make it difficult to discern …