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for resource management: tree cover, impervious surfaces, and riparian buffer analyses in
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approaches and limitations. International Journal of Remote Sensing 23(10):2071–2095.
Harvey, J. T. 2002b. Population estimation models based on individual TM pixels. Photogrammetric Engineering & Remote Sensing 68(11):1181–1192.
Hay, G. J., Dube, P., Bouchard, A., and Marceau, D. J. 2002a. A scale-space primer for
exploring and quantifying complex landscapes. Ecological Modelling 153(1–2):2–49.
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within a hierarchical scale-space framework. International Archives of Photogrammetry
and Remote Sensing 34(4):532–536.
Heiden, U., Segl, K., Roessner, S., and Kaufmann, H. 2007. Determination of robust spectral
features for identification of urban surface materials in hyperspectral remote sensing data.
Remote Sensing of Environment 111:537–552.
Hepner, G. F., Houshmand, B., Kulikov, I., and Bryant, N. 1998. Investigation of the
integration of AVIRIS and IFSAR for urban analysis. Photogrammetric Engineering &
Remote Sensing 64(8):813–820.
Herold, M., Liu, X., and Clark, K. C. 2003. Spatial metrics and image texture for mapping urban
land use. Photogrammetric Engineering & Remote Sensing 69(9):991–1001.
Herold, M., Schiefer, S., Hostert, P., and Roberts, D. A. 2006. Applying imaging spectrometry
in urban areas. In Q. Weng and D. A. Quattrochi (Eds.), Urban Remote Sensing. Boca
Raton, FL: CRC Press, pp. 137–161.
Hoffbeck, J. P., and Landgrebe, D. A. 1996. Classification of remote sensing having high
spectral resolution images. Remote Sensing of Environment 57:119–126.
Hsieh, P.-F., Lee, L. C., and Chen, N.-Y. 2001. Effect of spatial resolution on classification
errors of pure and mixed pixels in remote sensing. IEEE Transactions on Geoscience and
Remote Sensing 39:2657–2663.
Hu, X., and Weng, Q. 2011. Impervious surface area extraction from IKONOS imagery using
an object-based fuzzy method. Geocarto International 26(1):3–20.
Irons, J. R., Markham, B. L., Nelson, R. F., Toll, D. L., Williams, D. L., Latty, R. S., and
Stauffer, M. L. 1985. The effects of spatial resolution on the classification of Thematic
Mapper data. International Journal of Remote Sensing 6:1385–1403.
Jensen, J. R. 2005. Introductory Digital Image Processing: A Remote Sensing Perspective, 3rd
ed. Upper Saddle River, NJ: Prentice Hall.
Jensen, J. R., and Cowen, D. C. 1999. Remote sensing of urban/suburban infrastructure and
socioeconomic attributes. Photogrammetric Engineering & Remote Sensing 65:611–622.
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Datasets, and Prospects. Boca Raton, FL: CRC Press.
Goetz, S. J., Wright, R. K., Smith, A. J., Zinecker, E., and Schaub, E. 2003. IKONOS imagery
for resource management: tree cover, impervious surfaces, and riparian buffer analyses in
the mid-Atlantic region. Remote Sensing of Environment 88:195–208.
Gong, P., and Howarth, P. J. 1990. The use of structure information for improving land-cover
classification accuracies at the rural-urban fringe. Photogrammetric Engineering & Remote
Sensing 56(1):67–73.
Gong, P., and Howarth, P. J. 1992. Frequency-based contextual classification and gray-level
vector reduction for land-use identification. Photogrammetric Engineering & Remote
Sensing 58(4):423–437.
Harvey, J. T. 2002a. Estimating census district populations from satellite imagery: Some
approaches and limitations. International Journal of Remote Sensing 23(10):2071–2095.
Harvey, J. T. 2002b. Population estimation models based on individual TM pixels. Photogrammetric Engineering & Remote Sensing 68(11):1181–1192.
Hay, G. J., Dube, P., Bouchard, A., and Marceau, D. J. 2002a. A scale-space primer for
exploring and quantifying complex landscapes. Ecological Modelling 153(1–2):2–49.
Hay, G. J., Marceau, D. J., and Bouchard, A. 2002b. Modelling multiscale landscape structure
within a hierarchical scale-space framework. International Archives of Photogrammetry
and Remote Sensing 34(4):532–536.
Heiden, U., Segl, K., Roessner, S., and Kaufmann, H. 2007. Determination of robust spectral
features for identification of urban surface materials in hyperspectral remote sensing data.
Remote Sensing of Environment 111:537–552.
Hepner, G. F., Houshmand, B., Kulikov, I., and Bryant, N. 1998. Investigation of the
integration of AVIRIS and IFSAR for urban analysis. Photogrammetric Engineering &
Remote Sensing 64(8):813–820.
Herold, M., Liu, X., and Clark, K. C. 2003. Spatial metrics and image texture for mapping urban
land use. Photogrammetric Engineering & Remote Sensing 69(9):991–1001.
Herold, M., Schiefer, S., Hostert, P., and Roberts, D. A. 2006. Applying imaging spectrometry
in urban areas. In Q. Weng and D. A. Quattrochi (Eds.), Urban Remote Sensing. Boca
Raton, FL: CRC Press, pp. 137–161.
Hoffbeck, J. P., and Landgrebe, D. A. 1996. Classification of remote sensing having high
spectral resolution images. Remote Sensing of Environment 57:119–126.
Hsieh, P.-F., Lee, L. C., and Chen, N.-Y. 2001. Effect of spatial resolution on classification
errors of pure and mixed pixels in remote sensing. IEEE Transactions on Geoscience and
Remote Sensing 39:2657–2663.
Hu, X., and Weng, Q. 2011. Impervious surface area extraction from IKONOS imagery using
an object-based fuzzy method. Geocarto International 26(1):3–20.
Irons, J. R., Markham, B. L., Nelson, R. F., Toll, D. L., Williams, D. L., Latty, R. S., and
Stauffer, M. L. 1985. The effects of spatial resolution on the classification of Thematic
Mapper data. International Journal of Remote Sensing 6:1385–1403.
Jensen, J. R. 2005. Introductory Digital Image Processing: A Remote Sensing Perspective, 3rd
ed. Upper Saddle River, NJ: Prentice Hall.
Jensen, J. R., and Cowen, D. C. 1999. Remote sensing of urban/suburban infrastructure and
socioeconomic attributes. Photogrammetric Engineering & Remote Sensing 65:611–622.
REFERENCES
75