Underwater acoustics has been implemented mostly in the field of sound navigation and
ranging (SONAR) procedures for submarine communication, the examination of maritime …

Bridges are vital structures for worldwide physical infrastructure networks, and efficient
inspection methods are needed to reveal and evaluate the health conditions of damaged …

To overcome the shortcomings of the traditional manual detection of underwater targets in
side-scan sonar (SSS) images, a real-time automatic target recognition (ATR) method is …

Research on the automatic analysis of sonar images has focused on classical, ie non deep
learning based, approaches for a long time. Over the past 15 years, however, the application …

Fast and high-accuracy detection of underwater targets based on side scan sonar images
has great potential for marine fisheries, underwater security, marine mapping, underwater …

Underwater mines pose extreme danger for ships and submarines. Therefore, navies
around the world use mine countermeasure (MCM) units to protect against them. One of the …

With the development of deep learning techniques, convolutional neural networks (CNN)
are increasingly being used in image recognition for marine surveys and underwater object …

水下图像目标检测是水下智能化探测的核心技术之一, 广泛应用于工业及军事领域.
深度学习相关技术的突破为水下图像目标检测的发展带来了新的机遇, 但是目前该领域的综述 …

Acoustic seabed classification (ASC) is a fast and large-scale seabed sediment survey
method. In particular, combining it with an automated classifier can theoretically achieve fast …

This paper proposes a deep convolutional neural network (DCNN) to design an accurate
active sonar image classifier. In order to have a real-time classifier with low complexity, The …