Olofsson, Kenneth
- Department of Forest Resource Management and Geomatics, Swedish University of Agricultural Sciences
Abstract
Today there exist methods for automatic detection of single trees using digitized air photos or remote sensing images with pixel sizes in the order of 0.5 – 1.0 m. By these techniques a majority of trees are detected. In combination with a sample of field plots where all trees are counted, the single tree detection techniques opens up new possibilities in forest inventory and planning. There exist different approaches for the single tree detection, such as segmentation or template matching. The template matching approach was pioneered by Richard James Pollock, University of British Columbia. The idea is that a library of 3-dimensional model trees are cross correlated against any potential tree position in the digital image and tree positions and tree sizes with the highest correlations are considered as likely trees. In this study a computer program based on Pollock’s ideas have been developed and tested on a spruce stand at a test site in Sweden. A technique to remove multiple hits by template coverage is introduced. The program shows promising results and it should be possible to develop an inventory system based on these techniques.
Keywords
template matching; single trees; inventory and planning; image processing
Published in
Title: FORESTSAT 2002: Operational Tools in Forestry Using Remote Sensing Techniques : Conference Papers : August 5th-9th, 2002
Publisher: Forestry Commission
Conference
ForestSat 2002, Operational Tools in Forestry Using Remote Sensing Techniques, Heriot Watt University, Edinburgh, August 5th-9th of August 2002
SLU Authors
Associated SLU-program
Remningstorp
UKÄ Subject classification
Forest Science
Earth Observation
Permanent link to this page (URI)
https://res.slu.se/id/publ/139276