Remote sensing of high resolution urban impervious surfaces - Urban Remote Sensing: Monitoring, Synthesis and Modeling in the Urban Environment - page 240

Flanagan, M. and Civco, D.L. (2001) Subpixel impervious surface
mapping. In Proceedings of American Society for Photogram-
metry and Remote Sensing Annual Convention ,St.Louis,MO,
April 23-27.
Gillies, R.R., Box, J.B., Symanzik, J. and Rodemaker, E.J. (2003)
Effects of urbanization on the aquatic fauna of the Line Creek
watershed, Atlanta-a satellite perspective. Remote Sensing of
Environment , 86 , 411-422.
Gitas, I.Z., Mitri, G.H. and Ventura, G. (2004) Object-based
image classification for burned area mapping of Creus Cape,
Spain, using NOAA-AVHRR imagery. Remote Sensing of
Environment , 92 , 409-413.
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.
Green, A.A., Berman, M., Switzer, P. and Craig, M.D. (1988)
A transformation for ordering multispectral data in terms
of image quality with implications for noise removal, IEEE
Transactions on Geoscience and Remote Sensing , 26 , 65-74.
Heinert, N.J. (2002) Impervious surface mapping using Landsat
TM and IKONOS satellite remote sensing. MGIS (Master of
Geographic Information Science) capstone paper. University
of Minnesota.
Horne, J.H. (2003) A Tasseled Cap transformation for IKONOS
images. In ASPRS 2003 Annual Conference Proceedings ,May
2003, Anchorage, Alaska, USA.
Huang, C. and Townshend, J.R.G. (2003) A stepwise regression
tree for nonlinear approximation: applications to estimating
subpixel land cover, International Journal of Remote Sensing ,
24 (1), 75-90.
Ji, C.Y. (2000) Land-use classification of remotely sensed data
using kohonen self-organizing feature map neural networks.
Photogrammetric Engineering & Remote Sensing , 66 (12):
1451-1460.
Kavzoglu, T. and P.M. Mather (2003) The use of backpropa-
gating artificial neural networks in land cover classification.
International Journal of Remote Sensing , 24 (23): 4907-4938.
Lu, D. and Weng, Q. (2004) Spectral mixture analysis of the
urban landscape in Indianapolis city with Landsat ETM

Peterson, B. (2001) IKONOS relative spectral response and
radiometric calibration coefficients. Document number SE-
REF-016, Rev. A. Space Imaging, Inc., Thornton, CO.
Phinn, S., Stanford, M., Scarth, P., Murray, A.T. and Shyy,
T. (2002) Monitoring the composition and form of urban
environments based on the vegetation-impervious surface-
soil (VIS)model by sub-pixel analysis techniques. International
Journal of Remote Sensing , 23 (20), 4131-4153.
Pu, R., Gong, P., Michishita R. and Sasagawa, T. (2008) Spectral
mixture analysis for mapping abundance of urban surface
components from the Terra/ASTER data. Remote Sensing of
Environment , 112 , 939-954.
Quinlan, J.R. (1993) Combining instance-based andmodel-based
learning. In Proceedings of the 10th International Conference
of Machine Learning (Utgoff, P., edtor), Morgan Kaufmann
Publishers, Amherst, MA, pp. 236-243.
Roberts,D.A.,Gardner,M.,Church,R.,Ustin,S.,Scheer,G.
and Green, R.O. (1998) Mapping chaparral in the Santa Mon-
ica mountains using multiple endmember spectral mixture
models. Remote Sensing of Environment , 65 , 267-279.
Sawaya, K., Olmanson, L., Heinert, N., Brezonik, P. and Bauer
M. (2003) Extending satellite remote sensing to local scales:
Land and water resource monitoring using high-resolution
imagery. Remote Sensing of Environment , 88 , 144-156.
Schueler, T.R. (1994) The importance of imperviousness. Water-
shed Protection Techniques , 1 (3), 100-110.
Small, C. (2003) High spatial resolution spectral mixture anal-
ysis of urban reflectance. Remote Sensing of Environment , 88 ,
170-186.
Song, C. (2005) Spectral mixture analysis for subpixel vegetation
fractions in the urban Environment: how to incorporate end-
member variations? Remote Sensing of Environment , 95 (2),
248-263.
Sun, X. (2003) Comparison of pixel-based and object-oriented
approaches to land cover classification using high-resolution
IKONOS satellite data. Master's Thesis, University of Min-
nesota.
Wang, L., Sousa, W. and Gong, P. (2004) Integration of object-
based and pixel-based classification for mangrove mapping
with IKONOS imagery. International Journal of Remote Sens-
ing , 25 (24), 5655-5668.
Weng, Q. and Hu, X. (2008) Medium spatial resolution satellite
imagery for estimating and mapping urban impervious sur-
faces using LSMA and ANN. IEEE Transactions on Geoscience
and Remote Sensing , 46 (8), 2397-2406.
Willhauck, G. (2000) Comparison of object-oriented classifica-
tion techniques and standard image analysis for the use of
change detection between SPOT multispectral satellite images
and aerial photos. International Archives of Photogrammetry
and Remote Sensing , XXXIII , Part B3, 214-221.
Wu, C. (2004) Normalized spectral mixture analysis for monitor-
ing urban composition using ETM + imagery. Remote Sensing
of Environment , 93 , 480-492.
Wu, C. (2009) Quantifying high-resolution impervious surfaces
using spectral mixture analysis, International Journal of Remote
Sensing , 30 (11), 2915-2932.

+
imagery. Photogrammetric Engineering & Remote Sensing , 70
(9), 1053-1062.
Lu, D. and Weng, Q. 2007. Mapping urban impervious sur-
faces from medium and high spatial resolution multispectral
imagery. In Remote Sensing of Impervious Surfaces (Q. Weng,
ed.), CRC Press, Boca Raton, pp. 59-77.
Lu, D. and Weng, Q. (2009) Extraction of urban impervious sur-
faces from IKONOS imagery. International Journal of Remote
Sensing , 30 (5), 1297-1311.
Mohapatra, R.P. and Wu, C. (2007) Estimation with IKONOS
imagery: an artificial neural network approach. In Remote
Sensing of Impervious Surfaces (Q. Weng, ed.), CRC Press,
Boca Raton, pp. 21-39.
Morton, T. and Yuan, F. (2009) Analysis of population dynamics
using satellite remote sensing and U.S. census data. Geocarto
International , 24 (2), 143-163.