Development of Theoretical and Computational Methods for Single-Source Bathymetric Data
Abstract
The primary objective of the performer s work is to investigate the theoretical andcomputational models required to work with disparate sources of bathymetric andother data in order to provide for the navigator a suitably qualified description ofthe local navigation environment, from a consistent database, from which reasoneddecisions as to ship disposition can be made. Secondary objectives includedevelopment of methods to quantify the uncertainty associated withincompleteness of sparse bathymetric data, to transform this and other sources ofuncertainty into a consistent, readily comprehensible, and documented descriptionof uncertainty in a specific product provided to the navigator, and to establishmethods for visualization of both product and uncertainty in an intuitive manner.Given a complete and consistent uncertainty-qualified database describing the localbathymetry, determining where to place the safety contour for a ship or submarineis essentially trivial: determine the keel depth, dynamic offsets with respect tomotion, environment, and loading conditions, and then add a safety factor; apply theassociated level of uncertainty in any area, and exclude any areas which do notsatisfy the depth requirements. Such a database is not, however, generally available.Rather, most areas are described by a mixture of gridded bathymetric data, vector productcharts, and other more specific aids to navigation. Unfortunately, thismeans that in most instances the navigator of a ship or submarine is required tofuse all of these disparate sources of potentially conflicting data into a coherentpicture by hand. This process is error prone, time consuming, and frustrating.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 21, 2018
- Source ID
- N000141612035
Entities
People
- Brian Calder
Organizations
- Office of Naval Research
- United States Navy
- University System of New Hampshire