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 …

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

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

Images captured underwater usually suffer from color distortion, detail blurring, low contrast,
and a bluish or greenish tone due to light scattering and absorption in the underwater …

Real-time detection of sonar target plays a vital role in the underwater research field.
Conventionaldeep learning methods need large quantities of sonar images as the sample …

Deep neural network (DNN) was applied in sonar image target recognition tasks, but it is
very difficult to obtain enough sonar images that contain a target; as a result, the direct use of …

This paper proposes the detection and removal of crosstalk noise using a convolutional
neural network in the images of forward scan sonar. Because crosstalk noise occurs near an …

Forward Looking Sonars (FLS) are a typical choice of sonar for autonomous underwater
vehicles. They are most often the main sensor for obstacle avoidance and can be used for …

A sonar image affected by reverberation noise would generate serious speckle noise in the
image, which causes great trouble for the later sonar image target segmentation and …

Sonar image is the main way for underwater vehicles to obtain environmental information.
The task of target detection in sonar images can distinguish multi-class targets in real time …