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

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 …

The accuracy of underwater target recognition by autonomous underwater vehicle (AUV) is
a powerful guarantee for underwater detection, rescue, and security. Recently, deep …

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 …

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

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 …

The sonar received signals may contain various artifacts such as noise, reverberation, and
clutter that affect the proper target recognition and classification capabilities of sonar …

Open-source benchmark datasets have been a critical component for advancing machine
learning for robot perception in terrestrial applications. Benchmark datasets enable the …

To solve the shortage of training samples when using deep learning to detect shipwrecks, a
comprehensive sample augmentation method is proposed. The method fully considers the …

Disposal of industrial and hazardous waste in the ocean was a pervasive global practice in
the 20th century. Uncertainty in the quantity, location, and contents of dumped materials …