Automated tree top identification using colour infrared aerial photographs of high spatial resolution

Ekologia Bratislava

Volumn 21, Issue 3, 2002, Pages 229-238

  Šumbera, Stanislav ^a   Židek, Vladimír ^a  

^a MENDEL UNIVERSITY IN BRNO   (Czech Republic)

Author keywords

CIR aerial photographs; Image processing; Remote sensing; Smoothing techniques; Tree top detection

Indexed keywords

AERIAL PHOTOGRAPH; FOREST MANAGEMENT; IDENTIFICATION METHOD; INFRARED IMAGERY; SPATIAL RESOLUTION; TREE;

EID: 0036451499     PISSN: 1335342X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. Aurich, V., Weuke, J., 1995: Non-linear gaussian filters performing edge preserving diffusion. In Proceedings 17. DAGM-Symposium. Bielefeld, Springer, p. 538-545.
2. Brandtberg, T., 1999: Automatic Individual Tree-Based Analysis of High Spatial Resolution Remotely Sensed Data. Doctor's dissertation. In Acta Universitatis Agriculturae Sueciae, Silvestria 118.
3. Eastman, J.R., 1997: IDRISI, User's Guide. Clark University, Worcester.
4. Gougeon, F.A., 1998: Automatic individual tree crown delineation using a valley-following algorithm and a rule-based system. In Hill, D.A., Leckie, D.G. (eds): Proceedings of International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry. Canadian Forest Service, Pacific Forestry Centre, Victoria, BC. p. 11-23.
5. Lindeberg, T., 1996: A framework for handling image structures at multiple scales. In Proc. CERN School of Computing, Egmond aan Zee, The Netherlands.
6. Pollock, R.J., 1998: Individual Tree Recognition Based on a Synthetic Tree Crown Image Model. In Hill, D. A., Leckie, D.G. (eds): Proceedings of International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry. Canadian Forest Service, Pacific Forestry Centre, Victoria, BC, p. 25-34.
7. Schwarz, O., 2001: Possibility of the use of special forest maps of a new construction for forest management in protected areas (in Czech). In New Strategy of Forest Management Plans Elaboration (Workshop Proceedings), p.57-62. Mendel University of Agriculture and Forestry, Brno.