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  • 标题:Approximating LIDAR Ground Elevation Data by Higher-Order Tensor-Product B-Splines
  • 本地全文:下载
  • 作者:S. Mukherji
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2008
  • 卷号:XXXVII Part B3b
  • 页码:209-214
  • 出版社:Copernicus Publications
  • 摘要:We consider, in this paper, the problem of reconstructing the surface from LIDAR ground elevations. We reconstruct the surface by first rotating the LIDAR scan-lines so that they are parallel to the Y-axis, and then approximating the elevations by higher-order tensor-product B-splines using the least squared-error criterion. The resulting surface is both accurate and smooth..The approximating surface is a linear combination of tensor-product cubic B-splines. So, the coefficients of the tensor-product B-splines define the reconstructed surface. Since tensor-product cubic (quadratic) B-splines are non-zero only for four (three) knot-intervals in the x-direction and y-direction, the elevation at any point can be found in constant time and a grid DEM can be generated from the coefficients of the B-splines in time linear in the size of the grid
  • 关键词:DEM/DTM; LIDAR; Surface; Modelling; Reconstruction; GIS
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