Employing Geometric Proxies in Dynamic Human Features for Supervised Feature Extraction in Sonar Signal Processing

Ananya Sen Gupta; Andrew Christensen; Subhajit Das; Ivars Kirsteins

doi:10.23919/OCEANS52994.2023.10337108

Back

Conference proceeding

Employing Geometric Proxies in Dynamic Human Features for Supervised Feature Extraction in Sonar Signal Processing

Ananya Sen Gupta, Andrew Christensen, Subhajit Das and Ivars Kirsteins

OCEANS 2023 - MTS/IEEE U.S. Gulf Coast, pp.1-5

09/25/2023

DOI: 10.23919/OCEANS52994.2023.10337108

View Online

Abstract

In this work, intended as a position paper, we address the challenge of robust feature training for sonar targets in cluttered and noisy environments. Specifically, we propose a novel geometric methodology to create rich training data for robust feature segmentation against time-varying non-linear background interference. The key idea is to employ morphing features using controlled human moving silhouettes that serve as geometric proxies for acoustic color and related multi -dimensional sonar features. We also align the idea of geometric proxies with recently proposed braid group representation as a mathematical setup for large sonar targets. The visual aim is to create similar braid-like geometric simulations of large sonar targets using dynamic human features dancing against different types of proxy interfering sources. This creates a controlled scalable and reproduceable and growing repository of proxy geometric data that can be used to train towards detection of important acoustic features in the oceanic environment, We present some preliminary segmentation results and discuss our observations on the promise and challenges of this training simulation method.

Signal Processing

active sonar

Braid manifolds

feature extraction

Oceans

Sonar

Target tracking

Training

Training data

Visualization

Details

Title: Subtitle: Employing Geometric Proxies in Dynamic Human Features for Supervised Feature Extraction in Sonar Signal Processing
Creators: Ananya Sen Gupta - University of Iowa
Andrew Christensen - University of Iowa
Subhajit Das - Subhangik Dance Company Bandel,West Bengal,India
Ivars Kirsteins - Naval Undersea Warfare Center
Resource Type: Conference proceeding
Publication Details: OCEANS 2023 - MTS/IEEE U.S. Gulf Coast, pp.1-5
Publisher: The Marine Technology Society (MTS)
DOI: 10.23919/OCEANS52994.2023.10337108
Grant note: N000 14-21-1-2420 / Office of Naval Research (10.13039/100000006)
Language: English
Date published: 09/25/2023
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984533286802771

Metrics

4 Record Views