Characterization and classification of sonar targets using ellipsoid features

Daniel Schupp; Ananya Sen Gupta; Ivars Kirsteins

doi:10.1109/GlobalSIP.2015.7418419

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Conference proceeding

Characterization and classification of sonar targets using ellipsoid features

Daniel Schupp, Ananya Sen Gupta and Ivars Kirsteins

2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp.1352-1356

12/2015

DOI: 10.1109/GlobalSIP.2015.7418419

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Abstract

We present a geometry-inspired characterization of target response for active sonar that exploits similarity between intra-class features to distinguish between different targets against environmental objects such as a rock. Key innovation is to represent feature manifolds as a set of ellipsoids, each of which geometrically encompasses a unique physical characteristic of the target's response. We have demonstrated over experimental field data that for a given target class, these feature ellipsoids exhibit significant clustering behavior that may be exploited to distinguish the target against other distinct target classes or non-targets that commonly contribute to environmental clutter.

Acoustics

Steel

Conferences

Ellipsoids

Geometric approach

Object recognition

Rocks

Sonar detection

System identification

Underwater acoustics

Details

Title: Subtitle: Characterization and classification of sonar targets using ellipsoid features
Creators: Daniel Schupp - University of Iowa
Ananya Sen Gupta - University of Iowa
Ivars Kirsteins - Naval Undersea Warfare Center
Resource Type: Conference proceeding
Publication Details: 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp.1352-1356
DOI: 10.1109/GlobalSIP.2015.7418419
Publisher: IEEE
Language: English
Date published: 12/2015
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197542902771

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