Abstract
We propose an approach for the automatic extraction of leafless deciduous trees from high resolution aerial imagery captured in spring. In analogy to approaches for building extraction, we make use of the dark shadow of the tree as well as of the fact that the vertical trunk is imaged as a nadir pointing straight line. Hypotheses for the trunk are found via Hough transform. Branches are tracked using hysteresis thresholding. With this, it is possible to determine the trunk base, height, width, and outline of the tree. This information is stored in tree information systems. First results show the feasibility of the approach.
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© 1999 Springer-Verlag Berlin Heidelberg
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Mayer, H., Mayr, W. (1999). Automatic Extraction of Deciduous Trees from High Resolution Aerial Imagery. In: Förstner, W., Buhmann, J.M., Faber, A., Faber, P. (eds) Mustererkennung 1999. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60243-6_12
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DOI: https://doi.org/10.1007/978-3-642-60243-6_12
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