Object-Based Land Cover Classification Using High-Posting-Density LiDAR Data

@inproceedings{Im2008ObjectBasedLC,
  title={Object-Based Land Cover Classification Using High-Posting-Density LiDAR Data},
  author={Jungho Im and John R. Jensen and Michael E. Hodgson},
  year={2008}
}
This study introduces a method for object-based land cover classification based solely on the analysis of LiDAR-derived information—i.e., without the use of conventional optical imagery such as aerial photography or multispectral imagery. The method focuses on the relative information content from height, intensity, and shape of features found in the scene. Eight object-based metrics were used to classify the terrain into land cover information: mean height, standard deviation (STDEV) of height… CONTINUE READING
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