Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
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Optimal Surface Fitting of Point Clouds Using Local Refinement - Application to GIS Data (Paperback, 1st ed. 2023)
Loot Price: R771
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Optimal Surface Fitting of Point Clouds Using Local Refinement - Application to GIS Data (Paperback, 1st ed. 2023)
Series: SpringerBriefs in Earth System Sciences
Expected to ship within 12 - 17 working days
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This open access book provides insights into the novel Locally
Refined B-spline (LR B-spline) surface format, which is suited for
representing terrain and seabed data in a compact way. It provides
an alternative to the well know raster and triangulated surface
representations. An LR B-spline surface has an overall smooth
behavior and allows the modeling of local details with only a
limited growth in data volume. In regions where many data points
belong to the same smooth area, LR B-splines allow a very lean
representation of the shape by locally adapting the resolution of
the spline space to the size and local shape variations of the
region. The iterative method can be modified to improve the
accuracy in particular domains of a point cloud. The use of
statistical information criterion can help determining the optimal
threshold, the number of iterations to perform as well as some
parameters of the underlying mathematical functions (degree of the
splines, parameter representation). The resulting surfaces are well
suited for analysis and computing secondary information such as
contour curves and minimum and maximum points. Also deformation
analysis are potential applications of fitting point clouds with LR
B-splines.
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