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 logical data structure and associated algorithms that can adjust to local data conditions, change resolution where required to best support the data, and operate over essentially arbitrarily large areas as a single unit. The algorithm, which is in part a development of CUBE, is modular and extensible, and is structured as a client-server application to support different implementation modalities. The algorithm is called “CUBE with Hierarchical Resolution Techniques”, or CHRT.
Journal or Conference Title
U.S. Hydrographic Conference
April 25-28, 2011
Tampa, FL, USA
Hydrographic Society of America
B. R. Calder and G. Rice, "Design and implementation of an Extensible variable resolution Bathymetric Estimator," in PROC. U.S. HYDRO. CONF, 2011, pp. 25–28. [Online]. Available: http://ushydro.thsoa.org/hy11/0428P_01.pdf.