Results 1 to 10 of about 1,091 (159)

Active Sonar Target Classification Method Based on Fisher’s Dictionary Learning [PDF]

Applied Sciences, 2021
The marine environment is complex and changeable, and the interference of noise and reverberation seriously affects the classification performance of active sonar equipment.
Tongjing Sun, Jiwei Jin, Tong Liu, Jun Zhang   +3 more
doaj   +4 more sources

Bi-Sphere Anomaly Detection With Learnable Centroid for Active Sonar Classification

IEEE Access, 2022
Machine learning (ML)-based approaches are desirable for discriminating targets from clutter signals to enhance the performance of active sonar systems.
Geunhwan Kim, Youngmin Choo
doaj   +4 more sources

Attention-Based Complementary Learning for Active Target Classification With Limited Sonar Data

IEEE Access
We propose an active sonar target classifier using attention-based complementary learning (ABCL) to mitigate poor generalization with scarce active sonar data.
Youngsang Hwang, Geunhwan Kim, Sungjin Shin, Wooyoung Hong, Youngmin Choo   +4 more
doaj   +4 more sources

Unsupervised active sonar contact classification through anomaly detection

EURASIP Journal on Advances in Signal Processing, 2023
Target detection and sonar contact classification with active sonar systems are not trivial especially when operating in coastal and shallow water environments with multipath propagation, high reverberation and clutter. It is even more difficult when the
Pietro Stinco, Alessandra Tesei, Kevin D. LePage   +2 more
doaj   +2 more sources

Active Sonar Target Classification with Power-Normalized Cepstral Coefficients and Convolutional Neural Network

Applied Sciences, 2020
Detection and classification of unidentified underwater targets maneuvering in complex underwater environments are critical for active sonar systems.
Seungwoo Lee, Iksu Seo, Jongwon Seok, Yunsu Kim, Dong Seog Han   +4 more
doaj   +3 more sources

Underwater Moving Target Classification Using Multilayer Processing of Active Sonar System

Applied Sciences, 2019
The task of detecting and classifying highly maneuverable and unidentified underwater targets in complex environments is significant in active sonar systems.
Iksu Seo, Seongweon Kim, Youngwoo Ryu, Jungyong Park, Dong Seog Han   +4 more
doaj   +3 more sources

Study on Small Samples Active Sonar Target Recognition Based on Deep Learning

Journal of Marine Science and Engineering, 2022
Underwater target classification methods based on deep learning suffer from obvious model overfitting and low recognition accuracy in the case of small samples and complex underwater environments.
Yule Chen, Hong Liang, Shuo Pang
doaj   +3 more sources

HMM-Based Underwater Target Classification with Synthesized Active Sonar Signals [PDF]

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2011
Publication in the conference proceedings of EUSIPCO, Barcelona, Spain ...
KIM, Taehwan, BAE, Keunsung
exaly   +4 more sources

Effective Data Augmentation for Active Sonar Classification Using Attention-Based Complementary Learning With Uncertainty Measure

IEEE Access
We enhance the performance of active sonar classification by integrating a validated attention-based complementary learning model (ABCL) with an active learning (AL) framework, following modifications to adapt the model for AL.
Youngsang Hwang, Geunhwan Kim, Wooyoung Hong, Youngmin Choo   +3 more
doaj   +3 more sources

Active Sonar Classification Algorithm based on HOG Feature

Journal of the Korea Institute of Military Science and Technology, 2017
Wooyoung Hong
exaly   +3 more sources