Abstract
Three image processing methods for single tree crown detection in high spatial resolution aerial images are presented and compared using the same image material and reference data. The first method uses templates to find the tree crowns. The other two methods uses region growing. One of them is supported by fuzzy rules while the other uses an image produced by Brownian motion. All three methods detect around 80%, or more, of the visible sunlit trees in two pine Pinus Sylvestris L.) and two spruce stands Picea abies Karst.) in a boreal forest. For all methods, large tree crowns are easier to detect than small ones.
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Pinz, A.: Final results of the vision expert system VES: finding trees in aerial photographs, in Wissensbasierte Masterkennung. (Knowledeg-based pattern recognition.), OCG-Schriftenreiche, vol. 49, pp. 90–111. Oldensbourg Verlag (1989)
Gougeon, F.A.: A crown-following approach to the automatic delineation of individual tree crowns in high spatial resolution aerial images. Can. J. Remote Sensing 21(3), 274–284 (1995)
Pollock, R.J.: The automatic recognition of individual trees in aerial images of forests based on a synthetic tree crown image model Ph.D. thesis, University of British Colombia, p. 172 Vancouver, Canada (1996)
Larsen, M., Rudemo, M.: Optimizing templates for finding trees in aerial photographs. Pattern Recogn. Lett. 19, 1153–1162 (1998)
Olofsson, K.: Detection of single trees in aerial images using template matching. In: ForestSat 2002, Operational Tools in Forestry using Remote Sensing Techniques, Proceedings CD-ROM, talk FI6.3, session Forest Inventory 6, Monitoring Forest Establishment and Development, Forest Research, Forestry Commission, Heriot Watt University, Edinburgh, Scotland, (5–9 August 2002)
Brandtberg, T., Walter, F.: Automatic delineation of individual tree crowns in high spatial resolution aerial images by multiple-scale analysis. Machine Vision Appl. 11(2), 64–73 (1998)
Erikson, M.: Segmentation of individual tree crowns in colour aerial photographs using region growing supported by fuzzy rules. Can. J. Forest Res. 33, 1557–1563 (2003)
Erikson, M.: Species classification of individual segmented tree crowns in high resolution aerial images using radiometric and morphologic image measures. Remote Sensing Environ. 91(3–4), 469–477 (2004)
Sokkia B.V.: Damsluisveg 1, 1332 EA Almere. The Netherlands URL: http://www.sokkia.net
Borgefors, G.: Distance transformations in digital images. Comput. Vision Graphics Image Process. 34, 344–371 (1986)
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Erikson, M., Olofsson, K. Comparison of three individual tree crown detection methods. Machine Vision and Applications 16, 258–265 (2005). https://doi.org/10.1007/s00138-005-0180-y
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DOI: https://doi.org/10.1007/s00138-005-0180-y