作者: Benjamin Hell , Martin Jakobsson
DOI: 10.1007/S11001-011-9141-1
关键词: Grid 、 Source data 、 Set (abstract data type) 、 Bathymetry 、 Curvature 、 Construct (python library) 、 Sparse matrix 、 Interpolation 、 Geology 、 Algorithm
摘要: Gridding heterogeneous bathymetric data sets for the compilation of Digital models (DBMs), poses specific problems when there are extreme variations in source density. This requires gridding routines capable subsampling high-resolution while preserving as much possible small details, at same time interpolating areas with sparse without generating artifacts. A frequently used method generalizes bicubic spline interpolation and is known continuous curvature splines tension. further enhanced this article order to specifically handle data. Our constructs final grid through stacking several surfaces different resolutions, each generated using tension algorithm. With approach, resolution locally adjusted density set: Areas gridded higher than In comparison some most widely methods, our approach yields superior DBMs based on regard details data, minimizing artifacts sparsely constrained regions. Common such from ship tracklines suppressed. Even if stacked algorithm has been designed construct it may be compile regular grids other geoscientific measurements.