Individual deciduous tree recognition in leaf-off aerial ultrahigh spatial resolution remotely sensed imagery

IEEE Geoscience and Remote Sensing Letters

Volumn 10, Issue 1, 2013, Pages 38-42

  Jiang, Miao ^a   Lin, Yi ^b  

^a China Metallurgical Geology Bureau   (China)

^b FINNISH GEODETIC INSTITUTE   (Finland)

Author keywords

Individual tree recognition; leaf off; mathematical morphology; support vector machine (SVM) classifier; ultrahigh spatial resolution remotely sensed (UHSRRS); watershed

Indexed keywords

CONIFEROUS TREES; DECIDUOUS TREES; DISTRIBUTION-FREE; EXPERIMENTAL EVALUATION; INDIVIDUAL TREE; INTEGRAL SOLUTIONS; LEAF-OFF; MARKER-CONTROLLED WATERSHED SEGMENTATION; MATHEMATICAL MORPHOLOGICAL OPERATION; MORPHOLOGICAL FEATURES; MULTI STEP METHODS; REMOTELY SENSED IMAGERY; REMOTELY SENSED IMAGES; SPATIAL RESOLUTION;

ALGORITHMS; IMAGE RESOLUTION; MATHEMATICAL MORPHOLOGY; REMOTE SENSING; SUPPORT VECTOR MACHINES; WATERSHEDS;

FORESTRY;

ALGORITHMS; CLASSIFICATION; EXPERIMENTATION; IMAGE ANALYSIS; MATHEMATICAL ANALYSIS; REMOTE SENSING; RESOLUTION; WATER SHEDS;

EID: 84866285104     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2012.2191764     Document Type: Article

References (26)

1. A. Kangas and M. Maltamo, Forest Inventory: Methodology and Applications (Managing Forest Ecosystem). Dordretch, The Netherlands: Springer-Verlag, 2006.
2. Y. H. Ke and L. J. Quackenbush, "A review of methods for automatic individual tree-crown detection and delineation from passive remote sensing," Int. J. Remote Sens., vol. 32, no. 17, pp. 4725-4747, Sep. 2011.
3. F.Morsdorf, E. Meier, B. Kötz, K. I. Itien,M. Dobbertin, and B. Allgöwer, "LiDAR based geometric reconstruction of boreal type forest stands at single tree level for forest and wildland fire management," Remote Sens. Environ., vol. 92, no. 3, pp. 353-362, Aug. 2004. (Pubitemid 40047459)
4. S. Solberg, E. Næsset, and O. M. Bollandsas, "Single tree segmentation using airborne laser scanner data in a structurally heterogeneous spruce forest," Photogramm. Eng. Remote Sens., vol. 72, no. 12, pp. 1369-1378, Dec. 2006. (Pubitemid 44893890)
5. Y. Lin, J. Hyyppä, and A. Jaakkola, "Mini-UAV-borne LiDAR for finescale mapping," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 3, pp. 426-430, May 2011.
6. Y. Lin, J. Hyyppä, A. Jaakkola, and X. Yu, "Three-level frame and RDschematic algorithm for automatic recognition of individual trees from MLS point clouds," Int. J. Remote Sens., vol. 33, pp. 1701-1716, 2012.
7. A. Pinz, "A computer vision system for recognition of trees in aerial photographs," in Proc. Int. Assoc. Pattern Recognit., 1991, pp. 111-124.
8. F. A. Gougeon, "A crown-falling approach to the automatic delineation of individual tree crowns in high spatial resolution aerial images," Can. J. Remote Sens., vol. 21, pp. 274-284, 1995.
9. T. Brandtberg, "Automated delineation of individual tree crowns in high spatial resolution aerial images by multiple-scale analysis," Mach. Vis. Appl., vol. 11, no. 2, pp. 64-73, Oct. 1998. (Pubitemid 128421856)
10. F. A. Gougeon and D. G. Leckie, "The individual tree crown approach applied to Ikonos images of a coniferous plantation area," Photogramm. Eng. Remote Sens., vol. 72, pp. 1287-1297, Nov. 2006. (Pubitemid 44713806)
11. Y. H. Ke and L. J. Quackenbush, "Forest species classification and tree crown delineation using QuickBird imagery," in Proc. ASPRS Annu. Conf., Tampa, FL, 2007.
12. D. A. Pouliot, D. J. King, F. W. Bell, and D. G. Pitt, "Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration," Remote Sens. Environ., vol. 82, no. 2/3, pp. 322-334, Oct. 2002.
13. M. Hirschmugl, M. Ofner, J. Raggam, and M. Schardt, "Single tree detection in very high resolution remote sensing data," Remote Sens. Environ., vol. 110, no. 4, pp. 533-544, Oct. 2007. (Pubitemid 47371022)
14. L. Wang, "A multi-scale approach for delineating individual tree crowns with very high resolution imagery," Photogramm. Eng. Remote Sens., vol. 76, no. 4, pp. 371-378, Apr. 2010.
15. T. Lakes and H. O. Kim, "The urban environmental indicator 'biotope area ratio'-An enhanced approach to assess and manage the urban ecosystem services using high resolution remote-sensing," Ecol. Indicat., vol. 13, no. 1, pp. 93-103, Feb. 2012.
16. C. Zhang, S. E. Franklin, and M. A. Wulder, "Geostatistical and texture analysis of airborne-acquired images used in forest classification, " Int. J. Remote Sens., vol. 25, no. 4, pp. 859-865, Feb. 2004. (Pubitemid 38329667)
17. X. Huang, L. P. Zhang, and L. Wang, "Evaluation of morphological texture features for mangrove forest mapping and species discrimination using multispectral IKONOS imagery," IEEE Geosci. Remote Sens. Lett., vol. 6, no. 3, pp. 393-397, Jul. 2009.
18. P. Soille, Morphological Image Analysis: Principles and Applications., 2nd ed. New York: Springer-Verlag, 2003.
19. R. W. Lamar, J. McGraw, and T. A. Warner, "Multi-temporal censoring of a population of eastern hemlock from remotely sensed imagery using an automated segmentation and reconciliation procedure," Remote Sens. Environ., vol. 94, no. 1, pp. 133-143, Jan. 2005. (Pubitemid 39527204)
20. J. A. K. Suykens, T. Van Gestel, J. De Brabanter, B. De Moor, and J. Vandewalle, Least Squares Support Vector Machines, Singapore, World Scientific, 2002. [Online]. Available: http://www.esat.kuleuven.be/sista/lssvmlab
21. G. Mountrakis, J. Im, and C. Ogole, "Support vector machines in remote sensing: A review," ISPRS J. Photogramm. Remote Sens., vol. 66, pp. 247-259, 2011.
22. Y. Lin and J. Hyyppä, "Geometry and intensity based culvert detection in mobile laser scanning point clouds," J. Appl. Remote Sens., vol. 4, Article Number: 043553, 2010.
23. Y. Lin and J. Hyyppä, "k-segments-based geometric modeling of VLS scan lines," IEEE Geosci. Remote Sens. Lett., vol. 8, pp. 93-97, Jan. 2011.
24. T. Kantola, M. Vastaranta, X. Yu, P. L. Saarenmaa, M. Holopainen, M. Talvitie, S. Kaasalainen, S. Solberg, and J. Hyyppä, "Classification of defoliated trees using tree-level airborne laser scanning data combined with aerial images," Remote Sens., vol. 2, pp. 2665-2679, 2010.
25. D. A. Pouliot, D. J. King, and D. G. Pitt, "Automated assessment of hardwood and shrub competition in regenerating forests using leafoff airborne imagery," Remote Sens. Environ., vol. 102, pp. 223-236, Jun. 2006. (Pubitemid 43776713)
26. S. Solberg, E. Næsset, K. H. Hanssen, and E. Christiansen, "Mapping defoliation during a severe insect attack on Scots pine using airborne laser scanning," Remote Sens. Environ, vol. 102, pp. 364-376, Jun. 2006. (Pubitemid 43776716)