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, trianglebased 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.
|Titel||Proceedings of the ISPRS Symposium on Photogrammetric Computer Vision (PCV'02), 9-13 September 2002, Graz, Austria|
|Plaats van productie||Z.pl.|
|Status||Gepubliceerd - 2002|
Zinger, S., Nikolova, M., Roux, M., & Mantre, H. (2002). 3D resampling for airborne laser data of urban areas. In Proceedings of the ISPRS Symposium on Photogrammetric Computer Vision (PCV'02), 9-13 September 2002, Graz, Austria (blz. 418-423). Z.pl.: s.n..