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  • 标题:Delineation of Individual Tree Crowns from ALS and Hyperspectral data: a comparison among four methods
  • 本地全文:下载
  • 作者:Michele Dalponte ; Francesco Reyes ; Kaja Kandare
  • 期刊名称:European Journal of Remote Sensing
  • 电子版ISSN:2279-7254
  • 出版年度:2015
  • 卷号:48
  • 期号:1
  • 页码:365-382
  • DOI:10.5721/EuJRS20154821
  • 摘要:In this paper four different delineation methods based on airborne laser scanning (ALS) and hyperspectral data are compared over a forest area in the Italian Alps. The comparison was carried out in terms of detected trees, while the ALS based methods are compared also in terms of attributes estimated (e.g. height). From the experimental results emerged that ALS methods outperformed hyperspectral one in terms of tree detection rate in two of three cases. The best results were achieved with a method based on region growing on an ALS image, and by one based on clustering of raw ALS point cloud. Regarding the estimates of the tree attributes all the ALS methods provided good results with very high accuracies when considering only big trees.
  • 关键词:Individual tree crowns delineation ; biomass estimation ; airborne laser scanning data ; hyperspectral data
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