Algorithm Design Study for Bathymetry Fusion-Review of Current State-of-the-art and Recommended Design Approach

Abstract

This report reviews current fusion techniques used for bathymetry or other geospatial data, as motivated by the Naval Oceanographic Office's (NAVOCEANO) need for intelligent fustion -- combining two or more data sets in a manner that accounts for data uncertainty -- of gridded and in situ bathymetric data sets. Based on this review, the recommended approach for building new bathymetry fusion algorithms uses loss interpolation to obtain a trend surface followed by kriging of residuals to recapture finer details lost from smoothing. In addition, if in situ soundings are used, Monte Carlo simulations are run to estimate depth error induced by position errors. The technique also provides the means to liberally estimate errors for navigation safety. The report concludes with plans to build, validate, and transition the algorithm to the Naval Oceanographic Office, Bathymetry Database Division.

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Document Details

Document Type
Technical Report
Publication Date
Dec 30, 2008
Accession Number
ADA491956

Entities

People

  • Chad A. Steed
  • Pau. A. Elmore

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Inference
  • Bayesian Networks
  • Computational Science
  • Computer Programs
  • Data Science
  • Data Sets
  • Databases
  • Differential Equations
  • Equations
  • Information Processing
  • Information Science
  • Monte Carlo Method
  • Navigation
  • Simulations
  • Sonar
  • Statistical Algorithms

Readers

  • Approximation Theory.
  • Oceanography.
  • Systems Analysis and Design