Feature Engineering and Classification of Elastic Waves from Partial Wave Simulations of Active Sonar Targets

Ananya Sen Gupta; Ivars Kirsteins

doi:10.1109/OCEANS47191.2022.9977330

Back

Conference proceeding

Feature Engineering and Classification of Elastic Waves from Partial Wave Simulations of Active Sonar Targets

Ananya Sen Gupta and Ivars Kirsteins

The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings

01/01/2022

DOI: 10.1109/OCEANS47191.2022.9977330

View Online

Abstract

Conference Title: OCEANS 2022, Hampton Roads Conference Start Date: 2022, Oct. 17 Conference End Date: 2022, Oct. 20 Conference Location: Hampton Roads, VA, USAActive sonar target classification continues to be a challenging task due to the many complex processes occurring within the ocean. There have been numerous feature extraction algorithms and machine learning techniques developed and tested on both simulated and experimental data to aid in this solution. This work compares the time-frequency representations of spectrograms and scalograms. The scalogram representation is hypothesised to provide increased classification due to the wavelet transform ability to dilate and contract, thereby capturing various time and frequency resolutions while the spectrogram resolution is fixed. The data are simulated impulse responses from solid spheres of four different types of materials at various radii excited by a monostatic plane wave. Feature extraction of the impulse responses is performed on the time-frequency domain representations. Classification is performed using a 10-fold crossvalidated support vector machine. The scalogram representation demonstrated an increased classification of 26% when compared to the spectrogram representation. Results are reported as overall classification accuracy and confusion matrices.

Algorithms

Elastic Waves

Machine Learning

Classification

Feature extraction

Oceans

Plane waves

Representations

Simulation

Sonar

Spectrograms

Support vector machines

Time-frequency analysis

Wavelet transforms

Details

Title: Subtitle: Feature Engineering and Classification of Elastic Waves from Partial Wave Simulations of Active Sonar Targets
Creators: Ananya Sen Gupta
Ivars Kirsteins
Resource Type: Conference proceeding
Publication Details: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings
DOI: 10.1109/OCEANS47191.2022.9977330
Publisher: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Grant note: DOI: 10.13039/100014037, name: National Defense Science and Engineering Graduate
Language: English
Date published: 01/01/2022
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984353647202771

Metrics

17 Record Views

1 Times Cited - Web of Science