Computationally efficient variable resolution depth estimation
Abstract
A new algorithm for data-adaptive, large-scale, computationally efficient estimation of bathymetry is proposed. The algorithm uses a first pass over the observations to construct a spatially varying estimate of data density, which is then used to predict achievable estimate sample spacing for robust depth estimation across the area of interest. A low-resolution estimate of depth is also constructed during the first pass as a guide for further...
Paper Details
Title
Computationally efficient variable resolution depth estimation
Published Date
Sep 1, 2017
Journal
Volume
106
Pages
49 - 59
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