Abstract
 Filtering of LIDAR Data Points Using 3D and ArcGIS Spatial Analyst Track: Remote Sensing Imagery Author(s): Juliano Kersting, Ana Paula Kersting One of the main advantages of the airborne laser scanner systems is the high degree of detail that a portion of the land can be mapped. This overdetailed description is caused by the high number of acquired points, which makes it easier to identify objects and model the topography. However, the large amount of collected points becomes redundant in plain regions, where fewer points are needed to describe the surface. An algorithm aimed primarily at the reduction of the number of points within a TIN model produced using LIDAR data was implemented in C## language using ArcObjects and both the ArcGIS Spatial and 3D Analyst extensions. The method is based on the faces of the triangulation, in which the redundant points are eliminated by a neighborhood vertex importance analysis. The obtained results with different thresholds are presented, and map algebra calculations on raster created with two generalized subsets are used for evaluation. Juliano Kersting COPEL - Companhia Paranaense de Energia S.A. Information Technology Rua Engenheiro Niepce da Silva, 310, ap 501 Curitiba , Paraná 80610280 BR Phone: +55 41 3314915 Fax: +55 41 3314915 E-mail: juliano.kersting@copel.com Ana Paula Kersting LACTEC - Instituto de Tecnologia para o Desenvolvimento CEHPAR - Centro de Hidráulica e Hidrologia Professor Parigot de Souza Rua Engenheiro Niepce da Silva, 310, ap 501 Curitiba , Paraná 80610280 BR Phone: +55 41 3616223 Fax: +55 41 2662935 E-mail: anapaula@lactec.org.br |
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