Corpus ID: 16748588

CLUSTERING IN AIRBORNE LASER SCANNING RAW DATA FOR SEGMENTATION OF SINGLE TREES

@inproceedings{Morsdorf2003CLUSTERINGIA,
  title={CLUSTERING IN AIRBORNE LASER SCANNING RAW DATA FOR SEGMENTATION OF SINGLE TREES},
  author={F. Morsdorf and E. Meier and B. Allg{\"o}wer and D. N{\"u}esch},
  year={2003}
}

F. Morsdorf, E. Meier, +1 author D. Nüesch

Published 2003

Computer Science

In recent years airborne laser scanning has been proven to be a helpful tool for remote sensing forestry applications. As laser scanning systems now provide very high point density (> 10 points/m2), we pursue the approach of deriving geometric parameters on a single-tree basis. We explore the potential of delineating single trees from laser scanner raw data (x,y,ztriples) through cluster analysis and validate this approach with a dataset of about 2000 georeferenced trees. The dataset includes… CONTINUE READING

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