Attention-Based Deep Neural Network Increases Detection Capability in Sonar Systems

ABNN’s gradual focus on specific line-spectrum features of a ship. CREDIT: Institute of Acoustics, Chinese Academy of Sciences

WASHINGTON, October 12, 2021 — In underwater acoustics, deep learning is gaining traction in improving sonar systems to detect ships and submarines in distress or in restricted waters. However, noise interference from the complex marine environment becomes a challenge when…Click here to read more.

From the Journal: JASA Express Letters
Link to article: Underwater acoustic target recognition using attention-based deep neural network
DOI: full/10.1121/10.0006299