Sonar object discrimination via spectral density analysis

N. Intrator*, N. Neretti, Q. Huynh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Current underwater sonar exploration often neglects the information that exists in the spectral density of object returns. The attempt to perform spectral density exploration of objects is complicated by the difficulty to present informative spectral content of each location pixel on a 2D image. Spectral content is best represented by the spectral density; however, it does not make sense to explore the detailed spectral density for each pixel in the image. In this work, we outline a general approach for spectral density analysis which is intended for enhancing object discrimination and delivers an easy to interpret, image enhancement of sonar returns. This method actually enhances the sonar image with acoustic color which emphasizes an optimal combination of frequency bands of the returned spectrum for the purpose of object discrimination. This is achieved by analyzing the discriminating power of different frequency bands and creating an optimal association with different bands to a corresponding color map.

Original languageEnglish
Title of host publicationOcean '04 - MTS/IEEE Techno-Ocean '04
Subtitle of host publicationBridges across the Oceans - Conference Proceedings
Pages740-742
Number of pages3
StatePublished - 2004
Externally publishedYes
EventOcean '04 - MTS/IEEE Techno-Ocean '04: Bridges across the Oceans - Conference Proceedings - Kobe, Japan
Duration: 9 Nov 200412 Nov 2004

Publication series

NameOcean '04 - MTS/IEEE Techno-Ocean '04: Bridges across the Oceans - Conference Proceedings
Volume2

Conference

ConferenceOcean '04 - MTS/IEEE Techno-Ocean '04: Bridges across the Oceans - Conference Proceedings
Country/TerritoryJapan
CityKobe
Period9/11/0412/11/04

Fingerprint

Dive into the research topics of 'Sonar object discrimination via spectral density analysis'. Together they form a unique fingerprint.

Cite this