Active sonar classification - Open Access .click

Results 11 to 20 of about 1,091 (159)

A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance

Sensors, 2022
This paper presents a comprehensive overview of current deep-learning methods for automatic object classification of underwater sonar data for shoreline surveillance, concentrating mostly on the classification of vessels from passive sonar data and the ...
Lucas C. F. Domingos +4 more
doaj +1 more source

Sequential Classification Of Active Sonar Returns [PDF]

OCEANS 92 Proceedings@m_Mastering the Oceans Through Technology, 2005
n ...
Dwyer, R. F., Radlinski, R. P.
openaire +2 more sources

Signal Synthesis and Feature Extraction for Active Sonar Target Classification

Journal of Korea Multimedia Society, 2015
Y. Uh, J.W. Seok
exaly +3 more sources

Multi-Layer Perceptron Training Optimization Using Nature Inspired Computing

IEEE Access, 2022
Although the multi-layer perceptron (MLP) neural networks provide a lot of flexibility and have proven useful and reliable in a wide range of classification and regression problems, they still have limitations.
Ali Al Bataineh +2 more
doaj +1 more source

Underwater Acoustic Research Trends with Machine Learning: Active SONAR Applications

한국해양공학회지, 2020
Underwater acoustics, which is the study of phenomena related to sound waves in water, has been applied mainly in research on the use of sound navigation and range (SONAR) systems for communication, target detection, investigation of marine resources and
Haesang Yang +4 more
doaj +1 more source

Feature Extraction and Classification of Simulated Monostatic Acoustic Echoes from Spherical Targets of Various Materials Using Convolutional Neural Networks

Journal of Marine Science and Engineering, 2023
Active sonar target classification remains an ongoing area of research due to the unique challenges associated with the problem (unknown target parameters, dynamic oceanic environment, different scattering mechanisms, etc.).
Bernice Kubicek, Ananya Sen Gupta, Ivars Kirsteins +2 more
doaj +1 more source

Integrated Reconstruction of Late Quaternary Geomorphology and Sediment Dynamics of Prokljan Lake and Krka River Estuary, Croatia

Remote Sensing, 2023
The upper part of the Krka River estuary and Prokljan Lake are a specific example of a well-stratified estuarine environment in a submerged river canyon.
Ozren Hasan +5 more
doaj +1 more source

Empowering and conquering infirmity of visually impaired using AI‐technology equipped with object detection and real‐time voice feedback system in healthcare application

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract The Internet of Things is emerging as a crucial technology in aiding humans and making their lives easier. Among the human population, a large percentage of people suffer from disabilities resulting in challenges in everyday life particularly people with visual disabilities.
Hania Tarik +8 more
wiley +1 more source

Feature of Echo Envelope Fluctuation and Its Application in the Discrimination of Underwater Real Echo and Synthetic Echo

Applied Sciences, 2018
Discriminating a real underwater target echo from a synthetic echo is a key challenge to identifying an underwater target. The structure of an echo envelope contains information which closely relates to the physical parameters of the underwater target ...
Yunfei Chen +4 more
doaj +1 more source

Shape Classification Using Hydrodynamic Detection via a Sparse Large-Scale 2D-Sensitive Artificial Lateral Line

IEEE Access, 2020
Artificial lateral lines are fluid flow sensor arrays, bio-inspired by the fish lateral line organ, that measure a local hydrodynamic environment. These arrays are used to detect objects in water, without relying on light, sound, or on an active beacon ...
Ben J. Wolf +3 more
doaj +1 more source

14. life underwater
active sonar
deep learning

anomaly detection
feature extraction
machine learning

4. education
target classification