A multispectral data model for higher-order active contours and its application to tree crown extraction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4678 LNCS, Issue , 2007, Pages 200-211

  Horváth, Péter ^a,b  

^a UNIVERSITY OF SZEGED   (Hungary)

^b INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CONTOUR FOLLOWERS; DECISION TREES; FEATURE EXTRACTION; SPECTRUM ANALYSIS; STATISTICAL METHODS;

HIGHER-ORDER ACTIVE CONTOURS; MULTISPECTRAL DATA MODELS; SHAPE INFORMATION;

DATA STRUCTURES;

EID: 38349001537     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74607-2_18     Document Type: Conference Paper

References (16)

1. Horváth, P., Jermyn, I.H., Kato, Z., Zerubia, J.: A higher-order active contour model for tree detection. In: Proc. International Conference on Pattern Recognition (ICPR), Hong Kong, China (2006)
2. Horváth, P., Jermyn, I.H., Kato, Z., Zerubia, J.: An improved 'gas of circles' higher-order active contour model and its application to tree crown extraction. In: Proc. Indian Conference on Vision, Graphics and Image Processing (ICVGIP), Madurai, India (2006)
3. Rochery, M., Jermyn, I.H., Zerubia, J.: Higher-order active contours. International Journal of Computer Vision 69, 27-42 (2006)
4. Larsen, M.: Finding an optimal match window for Spruce top detection based on an optical tree model. In: Hill, D., Leckie, D. (eds.) Proc. International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry, Victoria, British Columbia, Canada, pp. 55-66 (1998)
5. Gougeon, F.: A crown-following approach to the automatic delineation of individual tree crowns in high spatial resolution aerial images. Canadian Journal of Remote Sensing 21(3), 274-284 (1995)
6. Brandtberg, T., Walter, F.: Automated delineation of individual tree crowns in high spatial resolution aerial images by multiple-scale analysis. Machine Vision and Applications, 64-73 (1998)
7. Gougeon, F.A.: Automatic individual tree crown delineation using a valley-following algorithm and rule-based system. In: Hill, D., Leckie, D. (eds.) Proc. International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry, Victoria, British Columbia, Canada, pp. 11-23 (1998)
8. Andersen, H., Reutebuch, S., Schreuder, G.: Automated individual tree measurement through morphological analysis of a LIDAR-based canopy surface model. In: Proc. International Precision Forestry Symposium, Seattle, WA, USA, pp. 11-21 (2001)
9. Perrin, G., Descombes, X., Zerubia, J.: Tree crown extraction using marked point processes. In: Proc. European Signal Processing Conference (EUSIPCO), Vienna, Austria (2004)
10. Gougeon, F.: Comparison of possible multispectral classification schemes for tree crown individually delineated on high spatial resolution MEIS images. Canadian Journal of Remote Sensing 21(1), 1-9 (1995)
11. Cremers, D., Kohlberger, T., Schnorr, C.: Shape statistics in kernel space for variational image segmentation. Pattern Recognition 36, 1929-1943 (2003)
12. Leventon, M., Grimson, W., Faugeras, O.: Statistical shape influence in geodesic active contours. In: Proc. IEEE Computer Vision and Pattern Recognition (CVPR), Hilton Head Island, SC, USA, pp. 316-322. IEEE Computer Society Press, Los Alamitos (2000)
13. Paragios, N., Rousson, M.: Shape priors for level set representations. In: Proc. European Conference on Computer Vision (ECCV), Copenhagen, Denmark, pp. 78-92 (2002)
14. Riklin-Raviv, T., Kiryati, N., Sochen, N.: Prior-based segmentation by projective registration and level sets. In: Proc. IEEE International Conference on Computer Vision (ICCV), pp. 204-211. IEEE Computer Society Press, Los Alamitos (2005)
15. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision 1, 321-331 (1988)
16. Osher, S., Sethian, J.A.: Fronts propagating with curvature dependent speed: Algorithms based on Hamilton-Jacobi formulations. Journal of Computational Physics 79, 12-49 (1988)