Tree species classification using radiometry, texture and shape based features

European Signal Processing Conference

Volumn , Issue , 2007, Pages 1595-1599

  Kulikova, Maria S ^a   Mani, Meena ^a   Srivastava, Anuj ^b   Descombes, Xavier ^a   Zerubia, Josiane ^a  

^a UNIVERSITY OF NICE SOPHIA ANTIPOLIS   (France)

^b FLORIDA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AERIAL IMAGES; AGRICULTURAL SCIENCE; CLASSIFICATION PERFORMANCE; DESCRIPTORS; GEODESIC DISTANCES; HIGH RESOLUTION; HIGH-RESOLUTION AERIAL IMAGES; SHAPE BASED FEATURES; SHAPE DESCRIPTION; SHAPE DESCRIPTORS; SHAPE FEATURES; SHAPE MODELING; SHAPE SPACE; TREE CROWNS; TREE SPECIES;

FORESTRY; RADIOMETERS; RADIOMETRY; SIGNAL PROCESSING; TEXTURES;

IMAGE TEXTURE;

EID: 84863765515     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. B. E. Boser, I. M. Guyon and V. N. Vapnik, "A Training Algorithm for Optimal Margin Classifiers," in Fifth Annual Workshop on Computational Learning Theory, Pittsburg, 1992.
2. C. J. C. Burges, Tutorial on Support Vector Machines for Pattern recognition. Kluwer Academic Publishers, Boston. pp. 1-43.
3. C. H. Chen, L. F. Pau, P. S. P. Wang, The Handbook of Pattern Recognition and Computer Vision (2nd Edition), pp. 207-248, World Scientific Publishing Co., 1998.
4. M. Erikson, "Segmentation and Classification of Individual Tree Crowns," Ph.D. thesis, Swedish University of Agricultural Sciences, Uppsala, Sweden, 2004.
5. M. Erikson, "Species Classification of Individually Segmented Tree Crowns in High-Resolution Aerial Images using Radio-metric and Morphologic Image Measures," Remote Sensing of Environment, vol. 91, pp. 469-477, April 2004.
6. F. A. Gougeon, "Comparison of Possible Multispectral Classification Scheme for Tree Crown Individually Delineated on High Spatial Resolution MEIS Images," Canadian Journal of Remote Sensing, 21(1), pp. 1-9, 1995.
7. eme Congrès de L'Association québécoise de télé détection, May 1996.
8. F. A. Gougeon, D. G. Leckie, I. Scott and D. Paaradine "Individual Tree Crown Species Recognition: the Nahmint Study," Proc. of the International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry, pp 209-223, Pacific Forestry Center, Victoria, British Columbia, Canada, February 1998.
9. R. M. Haralick, "Statistical and Structural Approaches to Texture," Proceedings of the IEEE, vol. 67, pp. 786-804, 1978.
10. D. G. Leckie, F. A. Gougeon, N. Walsworth and D. Paradine, "Stand delineation and Composition estimation using Semi-Automated Individual Tree Crown Analysis," Remote Sensing of Environment, vol. 85, pp. 355-369, 2003.
11. E. Klassen, A. Srivastava, W. Mio and S. H. Joshi, "Analysis of Planar Shapes Using Geodesic Paths on Shape Space," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 26, no 3, pp. 372-383, March 2004.
12. G. Perrin, "Etude du Couvert Forestier par Processus Ponctuels Marqués," Ph.D. thesis, Ecole Doctoral de Centrale Paris, October 2006.
13. G. Perrin, X. Descombes and J. Zerubia. "A Non-Bayesian Model for Tree Crown Extraction using Marked Point Processes," Research Report 5846, INRIA, France, February, 2006.
14. A. Srivastava, S. H. Joshi, W. Mio and X. Liu, "Statistical Shape Analysis: Clustering, Learning, and Testing," IEEE Transaction on Pattern Analysis and Machine Intellegence, vol. 27, no 4, pp. 590-600, March 2004.
15. V. N. Vapnik, Statistical Learning Theory. John Wily and sons, inc., 1998.
16. V. N. Vapnik, The Nature of Statistical Learning Theory. Springer Verlag, New-York, 1995.