Physical Fields of Ship, Ocean and Atmosphere 
Original article
https://doi.org/10.24866/2227-6858/2021-4/28-38

Statsenko L., Kuzin D.

LUBOV G. STATSENKO, Doctor of Physico-Mathematical Sciences, Professor, lu-sta@mail.ru, https://orcid.org/0000-0001-7498-9534
DENIS A. KUZIN, Senior Lecturer (corresponding author), kuzindeal@gmail.com, https://orcid.org/0000-0002-4247-5675
Polytechnic Institute
Far Eastern Federal University
Vladivostok, Russia

Spectral features of hydroacoustic noises in determination of class
of underwater objects

Abstract: Decision-making systems based on the analysis of big data and machine learning methods are successfully applied in many areas. It is necessary for correct classification of an object (or action) to determine its features helping to achieve the necessary classification accuracy. The machine learning method was approved analytically and experimentally   for solution of the problem of classification of underwater objects using spectral features of hydroacoustic noises. The training of the model with a bid acoustic data and the development of a sensor network will allow to create a system of quick response to the unauthorized access (boats and persons) to protected water area.

Keywords: underwater object, machine learning, hydroacoustic noise, classification, audiosignal processing

See the reference in English at the end of the article

For citation: Statsenko L., Kuzin D. Spectral features of hydroacoustic noises in determination of class of underwater objects. FEFU: School of Engineering Bulletin. 2021;(49):28-38. (In Russ.). https://doi.org/10.24866/2227-6858/2021-4/28-38