Authors:
Jan Hovad
and
Jitka Komarkova
Affiliation:
University of Pardubice, Czech Republic
Keyword(s):
Dtm, Dsm, Lidar, Polygon, 3D Model, Visualisation.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Client/Server Computing
;
Enterprise Software Technologies
;
Intelligent Problem Solving
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Software Engineering
;
Symbolic Systems
Abstract:
Author presents a new hybrid method for LIDAR processing in the form of complex, real-world attribute-based
3D digital model of the terrain. This model can be widely used for 3D GIS analyses, visualization for
public contracts, construction of new communications (roads), GPS navigation and generating individual
views from any location. Model is based on the LIDAR scanned values that are transferred into the
quadrilateral polygonal form. The main goal is to reconstruct large scale areas in 3D by slope based
quadrilateral grids that are interpolated from irregular raw structure. Laser scan is checked and corrected. It
is simplified by chosen interpolation technique into the quadrilateral set of grids (C++). Each grid has
different resolution to lower hardware requirements. Raw scan is analysed by slope factor and is used
further to classify grids into a groups. Classified grids are processed by 3D scripting language to form
polygonal terrain model. Vector and polygonal data ar
e converted into 3D and utilized to reconstruct surface
features and terrain classes. Set operations are used to divide digital terrain model into the segments. Set of
high polygonal models is created for each class. These models are scattered on the top of the classified
polygonal surface.
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