Texture and scale in object-based analysis of subdecimeter resolution unmanned aerial vehicle (UAV) imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 47, Issue 3, 2009, Pages 761-770

  Laliberte, Andrea S ^a   Rango, Albert ^a  

^a NEW MEXICO STATE UNIVERSITY   (United States)

Author keywords

Object based classification; Rangelands; Scale; Texture; Unmanned aircraft

Indexed keywords

ANTENNAS; DECISION TREES; DIGITAL CAMERAS; IMAGE TEXTURE; TEXTURES; UNMANNED AERIAL VEHICLES (UAV); VIDEO CAMERAS;

CLASSIFICATION ACCURACY; HIGH SPATIAL RESOLUTION; OBJECT BASED IMAGE ANALYSIS; OBJECT-BASED CLASSIFICATIONS; RANGELANDS; SCALE; SUBDECIMETER RESOLUTION; UNMANNED AIRCRAFTS;

IMAGE ANALYSIS;

CLASSIFICATION; IMAGE ANALYSIS; IMAGERY; NATURAL RESOURCE; PIXEL; RANGELAND; SPATIAL RESOLUTION; VEGETATION;

EID: 61349099437     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2008.2009355     Document Type: Article

References (43)

1. T. D. Booth and P. T. Tueller, "Rangeland monitoring using remote sensing," Arid Land Res. Manag., vol. 17, no. 4, pp. 455-467, Oct.-Dec. 2003.
2. G. Zhou, C. Li, and P. Cheng, "Unmanned aerial vehicle (UAV) real-time video registration for forest fire monitoring," in Proc. IGARSS, Seoul, Korea, 2005, vol. 5, pp. 1803-1806.
3. G. Zhou and D. Zang, "Civil UAV system for earth observation," in Proc. IGARSS, Barcelona, Spain, 2007, pp. 5319-5322.
4. A. S. Laliberte, A. Rango, and J. E. Herrick, "Unmanned aerial vehicles for rangeland mapping and monitoring: A comparison of two systems," in Proc. ASPRS Annu. Conf., Tampa, FL, 2007. unpaginated CD-ROM.
5. A. Rango, A. S. Laliberte, C. Steele, J. E. Herrick, B. Bestelmeyer, T. Schmugge, A. Roanhorse, and V. Jenkins, "Using unmanned aerial vehicles for rangelands: Current applications and future potentials," Environ. Pract., vol. 8, pp. 159-168, Jul. 2006.
6. I. Epifanio and P. Soille, "Morphological texture features for unsupervised and supervised segmentations of natural landscapes," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 4, pp. 1074-1083, Apr. 2007.
7. S. Ryherd and C. Woodcock, "Combining spectral and texture data in the segmentation of remotely sensed images," Photogramm. Eng. Remote Sens., vol. 62, no. 2, pp. 181-194, 1996.
8. M. A. Wulder, E. F. LeDrew, S. E. Franklin, and M. B. Lavigne, "Aerial image texture information in the estimation of northern deciduous and mixed wood forest leaf area index (LAI)," Remote Sens. Environ., vol. 64, no. 1, pp. 64-76, Apr. 1998.
9. S. E. Franklin, R. J. Hall, L. M. Moskal, A. J. Maudie, and M. B. Lavigne, "Incorporating texture into classification of forest species composition from airborne multispectral images," Int. J. Remote Sens., vol. 21, no. 1, pp. 61-79, Jan. 2000.
10. C. A. Coburn and A. C. B. Roberts, "A multiscale texture analysis procedure for improved forest stand classification," Int. J. Remote Sens., vol. 25, no. 20, pp. 4287-4308, 2004.
11. R. Haralick, K. Shanmugan, and I. Dinstein, "Textural features for image classification," IEEE Trans. Syst., Man, Cybern., vol. SMC-3, no. 1, pp. 610-621, Nov. 1973.
12. C. J. S. Ferro and T. A. Warner, "Scale and texture in digital image classification,"Photogramm. Eng. Remote Sens., vol. 68, no. 1, pp. 51-63, 2002.
13. Definiens Professional 5 User Guide, Definiens, Munich, Germany, 2006.
14. A. Lobo, K. Moloney, and N. Chiariello, "Fine scale mapping of a grassland from digitized aerial photography: An approach using image segmentation and discriminant analysis," Int. J. Remote Sens., vol. 19, no. 1, pp. 65-84, 1998.
15. M. E. Hodgson, J. R. Jensen, J. A. Tullis, K. D. Riordan, and C. M. Archer, "Synergistic use of Lidar and color aerial photography for mapping urban parcel imperviousness," Photogramm. Eng. Remote Sens., vol. 69, no. 9, pp. 973-980, 2003.
16. Q. Yu, P. Gong, N. Clinton, G. Biging, M. Kelly, and D. Schirokauer, "Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery," Photogramm. Eng. Remote Sens., vol. 72, no. 7, pp. 799-811, 2006.
17. A. S. Laliberte, A. Rango, K. M. Havstad, J. F. Paris, R. F Beck, R. McNeely, and A. L. Gonzalez, "Object-oriented image analysis for mapping shrub encroachment from 1937 to 2003 in Southern New Mexico," Remote Sens. Environ., vol. 93, no. 1/2, pp. 198-210, Oct. 2004.
18. A. S. Laliberte, E. L. Fredrickson, and A. Rango, "Combining decision trees with hierarchical object-oriented image analysis for mapping arid rangelands," Photogramm. Eng. Remote Sens., vol. 73, no. 2, pp. 197-207, 2007.
19. E. Ivits and B. Koch, "Object-oriented remote sensing tools for biodiversity assessment: A European approach," in Proc. 22nd EARSeL Symp., Prague, Czech Republic, 2002, pp. 8-16.
20. D. Flanders, M. Hall-Beyer, and J. Pereverzoff, "Preliminary evaluation of eCognition object-based software for cut block delineation and feature extraction," Can. J. Remote Sens., vol. 29, no. 4, pp. 441-452, 2003.
21. J. Radoux and P. Defourny, "A quantitative assessment of boundaries in automated forest stand delineation using very high resolution imagery," Remote Sens. Environ., vol. 110, no. 4, pp. 468-475, Oct. 2007.
22. L. Wang, W. P. Sousa, and P. Gong, "Integration of object-based and pixel-based classification for mapping mangroves with IKONOS imagery," Int. J. Remote Sens., vol. 25, no. 24, pp. 5655-5668, Dec. 2004.
23. M. Kim and M. Madden, "Determination of optimal scale parameter for alliance-level forest classification of multispectral Ikonos images," in Proc. 1st Int. Conf. OBIA, Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., 2006. unpaginated CD-ROM, 4 p.
24. M. S. Chubey, S. E. Franklin, and M. A. Wulder, "Object-based analysis of Ikonos-2 imagery for extraction of forest inventory parameters," Photogramm. Eng. Remote Sens., vol. 72, no. 4, pp. 383-394, 2006.
25. D. G. Blumberg and G. Zhu, "Using a hierarchical multi-resolution mechanism for the classification and semantic extraction of landuse maps for Beer-Sheva, Israel," Int. J. Remote Sens., vol. 28, no. 15, pp. 3273-3289, 2007.
26. K. Johansen, S. Phinn, I. Dixon, M. Douglas, and J. Lowry, "Comparison of image and rapid field assessments of riparian zone condition in Australian tropical savannas," For. Ecol. Manag., vol. 240, no. 1-3, pp. 42-60, Mar. 2007.
27. L. Bruzzone and L. Carlin, "A multilevel context-based system for classification of very high spatial resolution images," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 9, pp. 2587-2600, Sep. 2006.
28. D. A. Clausi, "An analysis of co-occurrence texture statistics as a function of grey level quantization," Can. J. Remote Sens., vol. 28, no. 1, pp. 45-62, 2002.
29. L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone, Classification and Regression Trees. Belmont, CA: Wadsworth, 1984.
30. R. S. DeFries, M. Hansen, J. R. G. Townshend, and R. Sohlberg, "Global land cover classifications at 8 m spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers," Int. J. Remote Sens., vol. 19, no. 16, pp. 3141-3168, 1998.
31. R. Lawrence, A. Bunn, S. Powell, and M. Zambon, "Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis," Remote Sens. Environ., vol. 90, no. 3, pp. 331-336, Apr. 2004.
32. N. Thomas, C. Hendrix, and R. G. Congalton, "A comparison of urban mapping methods using high-resolution digital imagery," Photogramm. Eng. Remote Sens., vol. 69, no. 9, pp. 963-972, 2003.
33. J. A. Tullis and J. R. Jensen, "Expert system house detection in high spatial resolution imagery using size, shape, and context," Geocarto Int., vol. 18, no. 1, pp. 5-15, Mar. 2003.
34. U. C. Benz, P. Hoffmann, G. Willhauck, I. Lingenfelder, and M. Heynen, "Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information," ISPRS J. Photogramm., vol. 58, no. 3/4, pp. 239-258, Jan. 2004.
35. D. Steinberg and P. Colla, CART-Classification and Regression Trees. San Diego, CA: Salford Syst., 1997.
36. M. Shokr, "Evaluation of second-order texture parameters for sea ice classification from radar images," J. Geophys. Res., vol. 96, no. C6, pp. 10625-10640, Jun. 1991.
37. D. G. Barber and E. F. LeDrew, "SAR sea ice discrimination using texture statistics: A multivariate approach," Photogramm. Eng. Remote Sens., vol. 57, no. 4, pp. 385-395, 1991.
38. A. Baraldi and F. Parmiggiani, "An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parameters," IEEE Trans. Geosci. Remote Sens., vol. 33, no. 2, pp. 293-304, Mar. 1995.
39. R. R. Sokal and F. J. Rohlf, Biometry: The Principles and Practice of Statistics in Biological Research. New York: Freeman, 1995.
40. R. G. Congalton, "A review of assessing the accuracy of classifications of remotely sensed data," Remote Sens. Environ., vol. 37, no. 1, pp. 35-46, Jul. 1991.
41. C. E. Woodcock and A. H. Strahler, "The factor of scale in remote sensing," Remote Sens. Environ., vol. 21, no. 3, pp. 311-332, Apr. 1987.
42. D. J. Marceau, D. J. Gratton, R. A. Fournier, and J.-R Fortin, "Remote sensing and the measurement of geographical entities in a forested environment. 2. The optimal spatial resolution," Remote Sens. Environ., vol. 49, no. 2, pp. 105-117, Aug. 1994.
43. M. Herold, X. Liu, and K. C. Clarke, "Spatial metrics and image texture for mapping urban land use," Photogramm. Eng. Remote Sens., vol. 69, no. 9, pp. 991-1001, 2003.