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  • 标题:3D Resampling for Airborne Laser Data of Urban Areas
  • 本地全文:下载
  • 作者:Sveta Zinger ; Mila Nikolova ; Michel Roux
  • 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:2002
  • 卷号:XXXIV Part 3 A
  • 页码:418-423
  • 出版社:Copernicus Publications
  • 摘要:We consider the problem of resampling for the data obtained by laser scanning on an irregular grid. The data obtained by airborne laser scanning are scattered, and the resampling on a regular grid is needed for the generation of digital surface models (DSM). Some well-known methods are considered in this article: triangle-based linear interpolation, triangle- based nearest neighbor interpolation and kriging. An energy minimization approach is proposed which allows to avoid the drawbacks relevant to these methods. This approach allows to impose a model of surface corresponding to urban areas. The energy function is adapted to deal with the scattered data, and its parameters are chosen to fit the model of a urban area. A correlation coefficient is used to compare the results. The methods are tested on real data - irregularly spaced 3D points - laser scanner data of Brussels. Visual and numerical experimentation results are presented
  • 关键词:laser scanning; urban areas; irregular sampling; DEM
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