Underwater robot technologies are crucial for marine resource exploration and autonomous
manipulation, and many breakthroughs have been achieved with key indicators (eg, dive …

Underwater acoustic target recognition (UATR) technology has been implemented widely in
the fields of marine biodiversity detection, marine search and rescue, and seabed map** …

In oceanic remote sensing operations, underwater acoustic target recognition is always a
difficult and extremely important task of sonar systems, especially in the condition of complex …

This paper presents a comprehensive overview of current deep-learning methods for
automatic object classification of underwater sonar data for shoreline surveillance …

In underwater acoustic target recognition, wave-based methods and time–frequency (TF)
representation-based methods are typically used to identify the target from different …

Underwater acoustic target recognition based on ship radiated noise has always been a
challenging task due to the complexity of underwater environment and the antagonism of …

Underwater sound classification has been an area of interest in the research community
because of its applications in military, commercial, and environmental domains. Underwater …

The underwater acoustic target recognition via passive sonar can extract the features of
target attribute from the ship radiated noise to complete the recognition task. The underwater …

Data augmentation methods as a critical technique in deep learning have not been well
studied in the underwater acoustic target recognition, which leads difficult for recognition …

The utilization of machine learning in analyzing ship radiated noise (SR-N) is undergoing
rapid evolution. Because the omnipresent background noise strongly depends on the highly …