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Proceedings Paper

Graph theoretic segmentation of airborne lidar data
Author(s): Lu Wang; Henry Chu
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Paper Abstract

Airborne LiDAR data are useful for 3D terrain visualization. Segmentation of the data set is especially important for extracting vector data in scenes containing man-made structures. In a graph theoretic formulation, each pixel is a node in a connected graph. The likelihood of an edge existing between two pixels is encoded as the weight between the nodes. Segmentation becomes a graph partitioning that minimizes the weights of the cut links. We combine texture analysis, morphological operators, and the normalized-cut graph-theoretic algorithm to segment lidar data sets. Experimental results using collected data demonstrate the efficacy of our method.

Paper Details

Date Published: 3 April 2008
PDF: 10 pages
Proc. SPIE 6979, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI, 69790N (3 April 2008); doi: 10.1117/12.777869
Show Author Affiliations
Lu Wang, John Chance Land Surveys, Inc. (United States)
Univ. of Louisiana at Lafayette (United States)
Henry Chu, Univ. of Louisiana at Lafayette (United States)


Published in SPIE Proceedings Vol. 6979:
Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI
Harold H. Szu; F. Jack Agee, Editor(s)

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