Remote identification of a shipwreck site from MBES backscatter.

Academic Article

Abstract

  • The method described attempts to remotely identify the shape of an anthropogenic object, such as a wreck of a modern vessel, using reflectivity data from Multi-Beam Echosounder (MBES) systems. In the beam domain, the backscatter strength values - geometrically and radiometrically corrected - are used to extract a large number of Gray Level Co-occurrence Matrix (GLCM) features with different input parameters. Principal Component Analysis (PCA) is applied in order to achieve dimensionality reduction whilst a K-means algorithm clusters as "shipwreck site" a large number of beams for each line. After the geo-referencing process, a K-nearest-neighbors (K-NN) technique is applied as a filter for possible misclassifications. Finally, the shape of the shipwreck site is defined from the georeferenced beams using the α-shape method, constructing an output compatible with Geographic Information Systems (GIS).
  • Authors

  • Masetti, Giuseppe
  • Calder, Brian
  • Status

    Publication Date

  • November 30, 2012
  • Keywords

  • Accidents
  • Algorithms
  • British Columbia
  • Cluster Analysis
  • Decision Support Techniques
  • Geographic Information Systems
  • Pacific Ocean
  • Principal Component Analysis
  • Remote Sensing Technology
  • Ships
  • Digital Object Identifier (doi)

    Pubmed Id

  • 22820745
  • Start Page

  • 44
  • End Page

  • 52
  • Volume

  • 111
  • Issue

  • 0