Sea floor recognition with bio-inspired echolocation

Mariia Dmitrieva, Keith Brown, Gary Heald, David Lane

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper presents a study of different feature extraction methods for sea floor recognition. This analysis is based on the frequency components of the return signals from a bio-inspired wideband sonar. Part of the sea floor of Tallinn Bay was surveyed using a wideband sonar with linear chirp pulses. The area contains citadel constructions and sediment regions. The recognition task is to distinguish between these two types of the sea floor. It was observed that the frequency spectrum of the signals returned from these two surfaces has different distributions. The work presents three frequency based approaches for the feature extraction process: Time-Frequency Moment Singular Value Decomposition (tFM-SVD), Energy Vector and Complete Frequency Spectrum. Comparison of the techniques is made in terms of the classification results.

Original languageEnglish
Title of host publicationOCEANS 2017 - Aberdeen
ISBN (Electronic)9781509052783
Publication statusPublished - 26 Oct 2017
EventOCEANS 2017 - Aberdeen - Aberdeen, United Kingdom
Duration: 19 Jun 201722 Jun 2017


ConferenceOCEANS 2017 - Aberdeen
Country/TerritoryUnited Kingdom
Internet address

ASJC Scopus subject areas

  • Instrumentation
  • Computer Networks and Communications
  • Oceanography
  • Acoustics and Ultrasonics
  • Automotive Engineering


Dive into the research topics of 'Sea floor recognition with bio-inspired echolocation'. Together they form a unique fingerprint.

Cite this