The high efficiency of obstacle detection system (ODS) is essential to obtain the high
performance of autonomous underwater vehicles (AUVs) carrying out a mission in a …

Sidescan sonars are increasingly used in underwater search and rescue for drowning
victims, wrecks and airplanes. Automatic object classification or detection methods can help …

This paper presents a new, simple, and efficient segmentation approach, based on a fusion
procedure which aims at combining several segmentation maps associated to simpler …

Mine detection and classification using high-resolution sidescan sonar is a critical
technology for mine counter measures (MCM). As opposed to the majority of techniques …

This paper presents a novel and practical convolutional neural network architecture to
implement semantic segmentation for side scan sonar (SSS) image. As a widely used …

Sidescan sonar image segmentation is a very important issue in underwater object detection
and recognition. In this paper, a robust and fast method for sidescan sonar image …

The sonar image segmentation is needed such as in underwater object orientation and
recognition, in collision prevention and navigation of underwater robots, in underwater …

This article presents an automatic real-time object detection method using sidescan sonar
(SSS) and an onboard graphics processing unit (GPU). The detection method is based on a …

Sonar images are usually suffering from speckle noise which results in poor visual quality. In
order to improve the sonar imaging quality, removing or reducing these speckle noises is a …

This paper describes a novel approach to object detection from sidescan sonar (SSS)
acoustical images. The current techniques of acoustical images processing consume a great …