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The performance of a local maxima method for detecting individual tree tops in aerial photographs

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Abstract:

Tree locations are needed in image‐based single tree forest inventories. Accurate tree‐top image positions would also be useful in image matching (IM) for the estimation of a canopy surface model. We explored the performance of a local maxima (LM)‐based method for detecting image positions of individual tree tops by using digitized aerial photographs in recently thinned stands in Southern Finland. The accuracy of tree detection at the single tree level was assessed using a novel 3D approach. The results indicate that the LM method works most reliably in the central parts of the aerial images. Small trees are mostly missed by the LM detector and commission errors seem unavoidable. We propose further work that would assess the applicability of the LM method as a feature detector for use in IM.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/01431160500354070

Affiliations: 1: Department of Forest Resource Management, University of Helsinki, Finland 2: Faculty of Forestry, University of Joensuu, FIN‐80101 Joensuu, Finland

Publication date: March 20, 2006

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