Considering the important applications in the military and the civilian domain, ship detection
and classification based on optical remote sensing images raise considerable attention in …

Autonomous surface ships have become increasingly interesting for commercial maritime
sectors. Before deep learning (DL) was proposed, surface ship autonomy was mostly model …

The popularity of deep learning architecture is increasing day by day. But the majority of
deep learning algorithms have their own limitations, such as slow convergence, high …

A summary of the many techniques used for this comprehensive review study aims to
classify and detect synthetic aperture radar (SAR) images. SAR images have become more …

This paper presents a mini-review of recent works in Salient Object Detection (SOD). First,
We introduce SOD and its application in image processing tasks and applications. Following …

Maritime surveillance is one of the major phases of security concern of borders to track the
illegal movement across the borders. Over the past decade, deep learning proves in majority …

Purpose The purpose of this paper is to classify the given image as indoor or outdoor with
higher success rate by mixing various features like brightness, number of straight lines …

Preceding chapters have presented a rationale for attending to semiotics in communications
and how semiotic tools have been used. The world has become virtually flatter (see Figure …

Scalable big data analysis frameworks are of paramount importance in the modern web
society, which is characterized by a huge number of resources, including electronic text …