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Full-Text Articles in Physical Sciences and Mathematics
Distribution-Free, Variable Resolution Depth Estimation With Composite Uncertainty, Brian R. Calder
Distribution-Free, Variable Resolution Depth Estimation With Composite Uncertainty, Brian R. Calder
Center for Coastal and Ocean Mapping
Recent algorithms for processing hydrographic data have treated the problem of achievable resolution by constructing grids of fixed resolution, a composite grid of variable resolution, recursive sub-division in a quad-tree, or by relying on a comprehensive TIN of the original points. These algorithms all impose some artificial structure on the data to allow for efficient computation, however, which this paper attempts to address. A scheme is outlined which provides a robust estimate of depth and associated uncertainty that makes as few assumptions as possible. Using a non-uniform spectral analysis, it estimates the spatial scales at which the data are consistent …
Design And Implementation Of An Extensible Variable Resolution Bathymetric Estimator, Brian R. Calder, Glen Rice
Design And Implementation Of An Extensible Variable Resolution Bathymetric Estimator, Brian R. Calder, Glen Rice
Center for Coastal and Ocean Mapping
For grid-based bathymetric estimation techniques, determining the right resolution at which to work is essential. Appropriate grid resolution can be related, roughly, to data density and thence to sonar characteristics, survey methodology, and depth. It is therefore variable in almost all survey scenarios, and methods of addressing this problem can have enormous impact on the correctness and efficiency of computational schemes of this kind. This paper describes the design and implementation of a bathymetric depth estimation algorithm that attempts to address this problem by combining the computational efficiency of locally regular grids with piecewise-variable estimation resolution to provide a single …