As discussed in the previous part of this review article, remote sensing (RS) creates
unprecedented opportunities by providing a variety of systems with different characteristics …

Forward-looking sonar (FLS) imagery system plays a significant role in oceanic object
recognition and detection since it can overcome the limitation of lighting conditions and …

Efficient convolutional neural networks (CNNs) are designed and trained for an underwater
target classification task with synthetic aperture sonar (SAS) imagery collected at sea. The …

Sonar image object detection is essential in underwater rescue and resource exploration.
Although many convolution neural network (CNN)-based object detection algorithms have …

Traditional chirp scaling algorithm is often developed based on the quadratic approximation
of point target reference spectrum, which neglects the higher‐order coupling between range …

Underwater sites affected by unexploded ordnance (UXO) pose significant risks to both
human safety and environmental well-being. Sonar imaging is commonly employed to …

With the increasing development of marine resources and underwater operations, sonar
image-based underwater target recognition has become a hot research area. This article …

We offer a new unsupervised statistically-based algorithm for the detection of underwater
objects in synthetic aperture sonar (SAS) imagery due to its high-resolution imagery and …

The imaging performance and efficiency are two important issues for the multireceiver
synthetic aperture sonar (SAS). Back projection (BP) algorithm is characterised by the high …

Deep learning has been recently shown to improve performance in the domain of synthetic
aperture sonar (SAS) image classification. Given the constant resolution with a range of …