Detecting an Optimal Scale Parameter in Object-Oriented Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 4, Issue 4, 2011, Pages 890-895

  Lowe, Sarah Heather ^a   Guo, Xulin ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

Object oriented classification; scale parameter; segmentation; spatial autocorrelation

Indexed keywords

AUTOCORRELATED; AVERAGE DISTANCE; CLASSIFICATION METHODS; CONTINUOUS VARIABLES; FIELD DESIGN; IMAGE OBJECTS; LAND-COVER TYPES; OBJECT ORIENTED CLASSIFICATION; OPTIMAL SCALE; REFLECTANCE VALUES; REMOTE SENSING DATA; RESEARCH QUESTIONS; SAMPLING THEOREMS; SCALE PARAMETER; SEMIVARIOGRAMS; SPATIAL AUTOCORRELATIONS; SPATIAL RESOLUTION; SPATIAL VARIATIONS;

AUTOCORRELATION; DATA REDUCTION; GROUND PENETRATING RADAR SYSTEMS; OPTIMIZATION; PIXELS; RADAR IMAGING; REFLECTION; REMOTE SENSING;

IMAGE SEGMENTATION;

ACCURACY ASSESSMENT; AUTOCORRELATION; ECOTONE; LAND COVER; PARAMETERIZATION; PIXEL; REFLECTANCE; REMOTE SENSING; SEGMENTATION; SPATIAL ANALYSIS; SPATIAL RESOLUTION; SPATIAL VARIATION; THRESHOLD; VARIOGRAM;

EID: 83655183741     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2011.2157659     Document Type: Article

References (17)

1. K. Chen and R. Blong, “Identifying the characteristic scale of scene variation in fine spatial resolution imagery with wavelet transform-based sub-image statistics,” Int. J. Remote Sens., vol. 24, no. 9, pp. 1983–1989, 2003.
2. B. Elmqvist, J. Ardo, and L. Olsson, “Land use studies in drylands: An evaluation of object oriented classification of very high resolution panchromatic imagery,” Int. J. Remote Sens., vol. 29, no. 24, pp. 7129–7140, 2008.
3. X. Guo, B. Fu, K. Ma, and L. Chen, “Utility of semivariogram for spatial variation of soil nutrients and the robust analysis of semivariogram,” J. Env. Sciences, vol. 13, no. 4, pp. 453–458, 2001.
4. Y. He, X. Guo, and B. C. Si, “Detecting grassland spatial variation by a wavelet approach,” Int. J. Remote Sens., vol. 28, no. 7, pp. 1527–1545, 2007.
5. J. Ju, S. Gopal, and E. Kolaczyk, “On the choice of spatial and categorical scale in remote sensing land cover classification,” Remote Sens. Env., vol. 96, pp. 62–77, 2005.
6. J. Karl and B. Maurer, “Multivariate correlations between imagery and field measurements across scales: Comparing pixel aggregation and image segmentation,” Landscape Ecology, vol. 25, pp. 591–605, 2010.
7. D. Labat, “Recent advances in wavelet analysis: Part 1. A review of concepts,” J. Hydrology, vol. 314, pp. 275–288, 2005.
8. C. Lightowlers, T. Nelson, E. Setton, and C. Keller, “Determining the spatial scale for analysing mobile measurements of air pollution,” Atmospheric Env., vol. 42, pp. 5933–5937, 2008.
9. J. McGrew and C. Monroe, An Introduction to Statistical Problem Solving in Geography, 2nd ed. Boston: McGraw-Hill, 2000, p. 110.
10. M. Moller, L. Lymbumer, and M. Volk, “The comparison index: A tool for assessing the accuracy of image segmentation,” Int. J. Applied Earth Obs. Geoinfo., vol. 9, pp. 311–321, 2007.
11. R. Platt and L. Rapoza, “An evaluation of an object-oriented paradigm for land use/land cover classification,” Professional Geographer, vol. 60, no. 1, pp. 87–100, 2008.
12. A. Rahman, J. Gamon, D. Sims, and M. Schmidts, “Optimum pixel size for hyperspectral studies of ecosystem function in southern California chaparral and grassland,” Remote Sens. Env., vol. 84, pp. 192–207, 2003.
13. C. Torrence and G. Compo “A practical guide to wavelet analysis,” Bulletin of the American Meteorological Society, vol. 79, pp. 61–79, 1998.
14. C. Zhang and X. Guo, “Measuring biological heterogeneity in the northern mixed prairie: A remote sensing approach,” Can. Geographer, vol. 51, no. 4, pp. 462–474, 2007.
15. Environment Canada, 2008, National Climate Data and Information Archive: Canadian Climate Normals 1971–2000 [Online]. Available: http://climate.weatheroffice.ec.gc.ca/climate_normals/results_e.html?Province=SASK&StationName=&SearchType=&LocateBy=Province&Proximity=25&ProximityFrom=City&StationNumber=&IDType=MSC&CityName=&ParkName=&LatitudeDegrees=&LatitudeMinutes=&LongitudeDegrees=&Longi-tudeMinutes=&NormalsClass=A&SelNormals=&StnId=3328&&autofwd=0 May 13, 2009, Available online at, accessed
16. G. McDermid, S. Franklin, and E. LeDrew, “Remote sensing for large area habitat mapping,” Progress Phys. Geog., vol. 29, no. 4, pp. 449–474, 2005.
17. H. Li and J. Wu, “Use and misuse of landscape indices,” Landscape Ecology, vol. 19, pp. 389–399, 2004.