Graph theoretic segmentation of airborne lidar data

Lu Wang; Henry Chu

doi:10.1117/12.777869

3 April 2008 Graph theoretic segmentation of airborne lidar data

Lu Wang, Henry Chu

Proceedings Volume 6979, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI; 69790N (2008) https://doi.org/10.1117/12.777869
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

Lu Wang and Henry Chu "Graph theoretic segmentation of airborne lidar data", Proc. SPIE 6979, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI, 69790N (3 April 2008); https://doi.org/10.1117/12.777869

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