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Title : LIDAR-BASED SPECIES CLASSIFICATION USING MULTIVARIATE CLUSTER ANALYSIS
Company : University of Washington
File Name : Kim_S.pdf
Size : 268327
Type : application/pdf
Date : 28-Jun-2010
Downloads : 9

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Featured Paper by

Sooyoung Kim

Understanding that various tree species have characteristics similar to each other, it follows that some type of hierarchical classification scheme could be used to identify species using LIDAR data. Cluster analysis, one of the unsupervised classification methods, was conducted for all individual trees using the k-medoid algorithm. Instead of using one-step cluster analysis, a stepwise cluster analysis was developed based on the statistical criteria to test hierarchical relationships between species. Two seasonal LIDAR datasets collected at the Washington Park Arboretum in Seattle, Washington were used for this study.
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