A method for linking field-surveyed and aerial-detected single trees using cross correlation of position images and the optimization of weighted tree list graphs

Abstract

With the present number of forestry remote sensing and field plot survey methods several data sources can be combined to potentially achieve a higher accuracy than with a single data source. Some of these datasets contain single tree information and it would be of great value when designing survey techniques if one could automatically link data from different sources belonging to the same tree. In this paper such a method for linking field-surveyed and aerial detected trees is described and evaluated. A simulation study and experimental data show the accuracy of the algorithm at different settings. The method correctly links >90 % of the trees if the corresponding datasets have a position error standard deviation of 1 [m] and 10 % omission and commission errors

Keywords

LiDAR; digital aerial images; data fusion; field plots; single tree detection and linking

Published in

ISBN: 978-0-85538-774-7

Conference

SilviLaser 2008

SLU Authors

• Olofsson, Kenneth

  • Department of Forest Resource Management, Swedish University of Agricultural Sciences
    

• Lindberg, Eva Sara

  • Department of Forest Resource Management, Swedish University of Agricultural Sciences
    

• Holmgren, Johan

  • Department of Forest Resource Management, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Forest Science


Permanent link to this page (URI)

https://res.slu.se/id/publ/19107