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Underwater vegetation detection in high frequency sonar images: A preliminary approach

  • Roberto Bozzano
  • Antonio Siccardi
Poster Session D: Biomedical Applications, Detection, Control & Surveillance, Inspection, Optical Character Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

This paper describes tests carried out on sector-scan sonar images acquired by a high frequency acoustic device. Trials were performed on low reflective targets such as marine vegetation living on the sea bottom in shallow sea waters. The imaging process is performed by placing side by side the scanlines, with the assumption of a sufficient correlation between two successive scanlines, even if the acoustic transducer rotates and the vehicle carrying the head moves forward along its path. The selected approach is mainly based on non-linear and morphological operators. Results are shown, demonstrating the effectiveness of the approach.

Keywords

Autonomous Underwater Vehicle Target Strength Morphological Operator Sonar Image Sidescan Sonar 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Roberto Bozzano
    • 1
  • Antonio Siccardi
    • 1
  1. 1.Consiglio Nazionale delle RicercheIstituto per l'Automazione Navale, CNR-IANGenovaItaly

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