Geosphere; February 2008; v. 4; no. 1;
p. 247-259; DOI: 10.1130/GES00139.1
© Geological Society of America
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Figure 5. Surface classification algorithm applied to the low-density point cloud. (A) Perspective view of the northwest part of the outcrop, looking northwest; total outcrop face is 
250 m long and 50 m high. (B) Pass 2 partition identifies four different orientations of the cliff faces. Clusters plotted with the same color have the same orientation. (C) The optimum number of four clusters in the final partition is determined by the L-shaped break value of the minimum description length (MDL) criterion. (D) Equal-area stereographic projection of the orientation data. The distribution of poles to the planes defined in the pass 1 partition indicates that the clusters are oriented NS or NE-SW, which reflect the trend of the outcrop as can be seen in the map view in Figure 4B. Mean vectors for each cluster are plotted as circles.
Copyright © 2008 by Geological Society of America
