An Approach to Robust Map Generation from Multibeam Bathymetric Data

Abstract

During the last twenty years, many multibeam bathymetric sonars have been produced. The instrumentation is usually accompanied by a system able to produce a seafloor map from the sonar data. There are also several public domain systems, which can be used to obtain a map from the data. All these systems produce a gridded map that must be filtered in order to reproduce the original seafloor surface because of noise on the bathymetric data. Both the gridding and the filtering algorithms introduce a source of error that is not easily controlled. Moreover, gridded maps may use significant storage space for a small amount of information. Finally, at present no systematic solution with realistic run-time requirements has been given to the problem of identification and elimination of bad data (outliers). We present here an algorithm able to fit bathymetric data and to automatically deal with outliers. The most important characteristics of the algorithm are: production of a triangulated map of uniform accuracy irrespective of seafloor features; a map resolution which depends on the local data noise amplitude; automatic elimination of outliers and low computing cost even on large datafiles.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1997
Accession Number
AD1113574

Entities

People

  • Gaetano Canepa
  • Oddbjorn Bergem

Organizations

  • SACLANT ASW Research Centre

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Anomaly Detection
  • Change Detection
  • Data Analysis
  • Data Sets
  • Deep Water
  • Detection
  • Estimators
  • Gaussian Distributions
  • Gaussian Noise
  • Grids
  • Information Science
  • Latitude
  • Longitude
  • Low Noise
  • Low Pass Filters
  • Nato
  • Operating Systems
  • Probability
  • Shallow Water
  • Sonar
  • Statistical Analysis

Readers

  • Computer Vision.
  • Oceanography.
  • Regression Analysis.

Technology Areas

  • Space