| 书目名称 | Optimal Surface Fitting of Point Clouds Using Local Refinement |
| 副标题 | Application to GIS D |
| 编辑 | Gaël Kermarrec,Vibeke Skytt,Tor Dokken |
| 视频video | |
| 概述 | This book is open access, which means that you have free and unlimited access.Provides a comprehensive description of an innovative surface approximation method for large data set.Shows a new procedur |
| 丛书名称 | SpringerBriefs in Earth System Sciences |
| 图书封面 |  |
| 描述 | 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 fittin |
| 出版日期 | Book‘‘‘‘‘‘‘‘ 2023 |
| 关键词 | Open Access; Surface Modeling; Optimum Point Cloud Approximation; Akaike Information Criterion; LR B-Spl |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-16954-0 |
| isbn_softcover | 978-3-031-16953-3 |
| isbn_ebook | 978-3-031-16954-0Series ISSN 2191-589X Series E-ISSN 2191-5903 |
| issn_series | 2191-589X |
| copyright | The Author(s) 2023 |
发表于 2025-3-21 17:53:53
