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Application of the Multi-sensor Fusion Method for Underwater Landscape Modeling

  • Claire Noël
  • Christophe Viala
  • Michel Coquet
  • Simon Marchetti
  • Eric Bauer
Chapter

Abstract

This paper presents application of multi-sensors data fusion to underwater landscape modeling.

It first deals with multi-sensors mini-oceanographic survey unit devoted to sea bottom mapping and monitoring developed by SEMANTIC TS. Then it presents research tasks conducted by SEMANTIC TS to develop a mapping method for underwater seabed. First stage is to develop methods for characterizing vegetation and sediment on the seabed using the acoustic response from a conventional single beam echo sounder. These new methods are then operated simultaneously with multi-beams sonar producing micro-relief information and side scan sonar providing gray scale levels associated with bottom reflectivity. Then fusion of these data is processed. We show efficiency of these multi-sensors survey unit and multi-sensors data fusion concepts to get very precise 3D bottom mapping allowing monitoring, in a way optimizing truth control (video and diving investigations). Examples are given on diving spot places showing results of these methods for underwater landscape modeling.

Keywords

Mapping method Reflectivity 3D modeling Acoustic survey 

References

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Claire Noël
    • 1
  • Christophe Viala
    • 1
  • Michel Coquet
    • 1
  • Simon Marchetti
    • 1
  • Eric Bauer
    • 1
  1. 1.Semantic TSSanary sur MerFrance

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