Examining the effect of spatial resolution and texture window size on classification accuracy: an urban environment case

References

• Anderson, J. R , Hardy, E , Roach, J , and Witmer, R , 1976. "A Land Use and Land Cover Classification System for Use with Remote Sensor Data". 1976, USGS (United States Geological Survey) Professional Paper #964 (No. 1044-9612), USGS, Reston, Virginia.
   Google Scholar
• Arbia, G , Benedetti, R , and Espa, G , 1996. Effects of the MAUP on image classification , Geographical Systems 3 (1996), pp. 123–141.
   Google Scholar
• Bian, L , and Butler, R , 1999. "Comparing effects of aggregation methods on statistical and spatial properties of simulated spatial data". In: Photogrammetric Engineering and Remote Sensing . 1999, 65, 73–84.
   Google Scholar
• Campbell, J. B , 1981. "Spatial correlation effects upon accuracy of supervised classification of land cover". In: Photogrammetric Engineering and Remote Sensing . 1981, 47(3), 355–363.
   Google Scholar
• Chen, D , and Stow, D. A , 2002. "The effect of training strategies on supervised classification at different spatial resolutions". In: Photogrammetric Engineering and Remote Sensing . 2002, 68, 1155–1161.
   Google Scholar
• Chen, J. M , 1999. Spatial scaling of a remotely sensed surface parameter by contexture , Remote Sensing of Environment 69 (1999), pp. 30–42.
   Web of Science ®Google Scholar
• Cihlar, J , 2000. Land cover mapping of large areas from satellites: status and research priorities , International Journal of Remote Sensing 21 (2000), pp. 1097–1114.
   Web of Science ®Google Scholar
• Cohen, J , 1965. "A coefficient of agreement for nominal scales". In: Educational and Psychological Measurement . 1965, 20, 37–46.
   Google Scholar
• Coulter, L , Stow, D , Kiracofe, B , Langevin, C , Chen, D , Daeschner, S , Service, D , and Kaiser, J , 1999. "Deriving current land use information for metropolitan transportation planning through integration of remotely sensed data and GIS". In: Photogrammetric Engineering and Remote Sensing . 1999, 65, 1293–1300.
   Google Scholar
• Cushnie, J. L , 1987. The interactive effect of spatial resolution and degree of interval variability within land-cover types on classification accuracies , International Journal of Remote Sensing 8 (1987), pp. 15–29.
   Web of Science ®Google Scholar
• Gong, P , and Howarth, P. J , 1990a. "An assessment of some factors influencing multispectral land-cover classification". In: Photogrammetric Engineering and Remote Sensing . 1990a, 56, 597–603.
   Google Scholar
• Gong, P , and Howarth, P. J , 1990b. "The use of structural information for improving land-cover classification accuracies at the rural–urban fringe". In: Photogrammetric Engineering and Remote Sensing . 1990b, 56, 67–73.
   Google Scholar
• Gong, P , and Howarth, P. J , 1992. "Frequency-based contextual classification and gray-level vector reduction for land-use identification". In: Photogrammetric Engineering and Remote Sensing . 1992, 58, 423–437.
   Google Scholar
• Hlavka, C. A , and Livingston, G. P , 1997. Statistical models of fragmented land cover and the effects of coarse spatial resolution on the estimation of area with satellite sensor imagery , International Journal of Remote Sensing 18 (1997), pp. 2253–2259.
   Web of Science ®Google Scholar
• Hodgson, M. E , 1998. "What size window for image classification? A cognitive perspective". In: Photogrammetric Engineering and Remote Sensing . 1998, 64, 797–806.
   Google Scholar
• Johnson, D. D , and Howarth, P. J , 1987. "The effects of spatial resolution on land cover/use theme extraction from airborne digital data". In: Canadian Journal of Remote Sensing . 1987, 13, 68–74.
   Google Scholar
• Kontoes, C. C , Raptis, V , Lautner, M , and Oberstadler, R , 2000. The potential of kernel classification techniques for land use mapping in urban areas using 5m-spatial resolution IRS-1C imagery , International Journal of Remote Sensing 21 (2000), pp. 3145–3151.
   Web of Science ®Google Scholar
• Lakshmana Rao, K. M , 1996. Regional network planning and the development of rural transportation using remote sensing techniques , International Journal of Remote Sensing 17 (1996), pp. 3453–3466.
   Web of Science ®Google Scholar
• Lam, N. S-N , and Quattrochi, D.A , 1992. "On the issues of scale, resolution, and fractal analysis in the mapping sciences". In: Professional Geographer . 1992, 44, 88–98.
   Google Scholar
• Latty, R. S , Nelson, R , Markham, B , Williams, D , Toll, D , and Irons, J , 1985. "Performance comparison between information extraction techniques using variable spatial resolution data". In: Photogrammetric Engineering and Remote Sensing . 1985, 51, 1159–1170.
   Google Scholar
• Marceau, D. J , Howarth, P. J , and Gratton, D. J , 1994a. Remote Sensing and the measurement of Geographical Entities in a forest environment 1: The scale and spatial aggregation problem , Remote Sensing of Environment 49 (1994a), pp. 93–104.
   Web of Science ®Google Scholar
• Marceau, D. J , Howarth, P. J , and Gratton, D. J , 1994b. Remote Sensing and the measurement of Geographical Entities in a forest environment 2, The optimal spatial resolution , Remote Sensing of Environment 49 (1994b), pp. 105–117.
   Web of Science ®Google Scholar
• Markham, B. L , and Townshend, J. R. G , 1981. "Land cover classification accuracy as a function of sensor spatial resolution". 1981, Proceedings of the 15th International Symposium on Remote Sensing of Environment, Ann Arbor, MI, 11–15 May (Ann Arbor: ERIM), pp. 1075–1090.
   Google Scholar
• Martin, L. R. G , Howarth, P. J , and Holder, G , 1988. "Multispectral classification of land use at the rural–urban fringe using SPOT data". In: Canadian Journal of Remote Sensing . 1988, 14, 72–79.
   Google Scholar
• Quattrochi, D. A , and Goodchild, M. F , 1997. 1997, Scale in Remote Sensing and GIS (Boca Raton, FL: CRC/Lewis Publishers).
   Google Scholar
• Stehman, S , 1992. "Comparison of Systematic and Random Sampling for Estimating the Accuracy of Maps Generated from Remotely Sensed Data". In: Photogrammetric Engineering and Remote Sensing . 1992, 58, 1343–1350.
   Google Scholar
• Swain, P. H , and Davis, S. M , 1978. 1978, Remote Sensing: The Quantitative Approach (New York: McGraw-Hill).
   Google Scholar
• Toll, D. L , 1984. "An evaluation of simulated TM data and Landsat MSS data for determining suburban and regional land use and land cover". In: Photogrammetric Engineering and Remote Sensing . 1984, 50, 1713–1724.
   Google Scholar
• Toll, D. L , 1985. "Effect of Landsat TM sensor parameters on land cover classification". In: Remote Sensing of Environment . 1985, 17, 129–140.
   Google Scholar
• Townshend, J , and Justice, J , 1981. Information extraction from remotely sensed data, a user view , International Journal of Remote Sensing 2 (1981), pp. 313–329.
   Google Scholar
• Treitz, P , and Howarth, P , 2000. High spatial resolution remote sensing data for forest ecosystem classification: An examination of spatial scale , Remote Sensing of Environment 72 (2000), pp. 268–289.
   Web of Science ®Google Scholar
• Wang, J , Treitz, P. M , and Howarth, P. J , 1992. Road network detection from SPOT imagery for updating geographical information systems in the rural–urban fringe , International Journal of Remote Sensing 6 (1992), pp. 141–157.
   Google Scholar
• Woodcock, C. E , and Strahler, A. H , 1987. The factor of scale in remote sensing , Remote Sensing of Environment 21 (1987), pp. 311–332.
   Web of Science ®Google Scholar