• DocumentCode
    3009534
  • Title

    Automatic tree stem delineation supporting forest inventory

  • Author

    Molinier, Matthieu ; Andersson, Karl ; Hame, Tuomas

  • Author_Institution
    Digital Inf. Syst., VTT Tech. Res. Centre of Finland, Espoo, Finland
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Abstract
    The aim of this study was to develop an automatic procedure to detect tree stems in cell phone images. If the stems can be detected, the central projection geometry of the images makes it possible to apply the so called relascope principle to predict the basal area of stems per hectare. The basal area is closely correlated with tree biomass. Images were acquired in an area where detailed tree-wise information is available. The tree stem delineation methods were based on color and edge information to tackle the challenges of occlusions and varying illumination conditions. Geolocalised images can be used as in-situ reference data for remote sensing data analysis to provide wall-to-wall estimates.
  • Keywords
    edge detection; image colour analysis; mobile handsets; object detection; automatic tree stem delineation method; cell phone images; central projection geometry; color information; detailed tree-wise information; edge information; forest inventory; geolocalised images; illumination conditions; in-situ reference data; relascope principle; remote sensing data analysis; stem basal area; tree biomass; tree stem detection; Cellular phones; Forestry; Image color analysis; Image edge detection; Image segmentation; Lighting; Vegetation; Cellular phone image processing; Forestry; Object detection and tree recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6129458
  • Filename
    6129458