Graph-based filtering of urban LiDAR data

Yassine Belkhouche; Bill Buckles; Prakash Duraisamy; Mohammad S. Alam

doi:10.1117/12.2053188

5 May 2014 Graph-based filtering of urban LiDAR data

Yassine Belkhouche, Bill Buckles, Prakash Duraisamy, Mohammad S. Alam

Proceedings Volume 9094, Optical Pattern Recognition XXV; 90940I (2014) https://doi.org/10.1117/12.2053188
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

A graph-based approach for modeling and solving the LiDAR filtering problem in urban areas is established. Our method consists of three steps. In the first step we construct a graph-based representation of the LiDAR data, Delaunay triangulation or the KNN graph can be used in this step. An algorithm is introduced to label the edges of this graph. In this second step, we defined criteria to eliminate some of the graph edges, then we used a connected components algorithm to separate the graph representation into different components. Finally, these components are classified into terrain or objects. Different datasets with different characteristics have been used to analyze the performance of our method.

Citation Download Citation

Yassine Belkhouche, Bill Buckles, Prakash Duraisamy, and Mohammad S. Alam "Graph-based filtering of urban LiDAR data", Proc. SPIE 9094, Optical Pattern Recognition XXV, 90940I (5 May 2014); https://doi.org/10.1117/12.2053188

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KEYWORDS

LIDAR

Buildings

3D modeling

Clouds

Data modeling

Optical filters

Process modeling

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