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  • 标题:Individual Tree Crown Segmentation in Aerial Forestry Images by Mean Shift Clustering and Graph-based Cluster Merging
  • 本地全文:下载
  • 作者:YaKun Wang ; Young Sung Soh, Howard,Schultz
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2006
  • 卷号:6
  • 期号:11
  • 页码:40-45
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:Individual tree crown segmentation is frequently required in forest inventory, biomass measurement, change detection, tree species recognition, etc. It is almost impossible to do manual segmentation of huge forest by human. In this paper, we present an automatic method for individual tree crown segmentation in aerial forestry images. We first extract treetops using the method in [1]. Next we apply mean shift clustering to group pixels into clusters having homogeneous properties. Then we build a cluster adjacency graph where clusters belonging to the same crown are merged. We tested our method on some forestry images and obtained good results.
  • 关键词:Mean Shift Clustering, Graph-based Merging, Tree Crown Segmentation.
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