Full text: Proceedings, XXth congress (Part 1)

  
  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part Bl. Istanbul 2004 
  
  
(a) (b) 
Figure I: Classification maps from RADARSAT-1 data: yellow is city center, red are residential areas, blue are sparse 
buildings, light blue water and green vegetation): (a) February, 21st, 2003; (b) November 22nd, 2001. 
Definiens home page, 2004. http://www.definiens- on Remote Sensing and Data Fusion over Urban Areas, 
imaging.com/ Rome, Italy, pp. 164-167. 
Expert Classifier by Erdas, 2004. S. Phinn, M. Stanford, P. Scarth, 2002. "Monitoring 
http://support.erdas.com/focus/focus2/focus on expert class.htthe composition of urban environments based on the 
i vegetation-impervious surface soil (VIS) model by sub- 
P. Gamba, J.A. Benediktsson, G. Wilkinson, 2003. "Fore- ^ pixel analysis techniques," /nt. J. Remote Sens., Vol. 23, n. 
word to the special issue on urban remote sensing by satel- 20, pp. 4131-4153. 
lite” IEEE Trans. Geosci. Remote Sensing, Vol. 41, n. 9, 
pp. 1903-1906. M.A. Shaban and O. Dikshit, 2001. *Improvement of clas- 
sification in urban areas by the use of textural features: the 
P. Gong, and P.J. Howarth, 1990. “The use of structural ^ case study of Lucnow city, Uttar Opradesh,” Int. J. Remote 
information for providing land cover classification accura- Sens., vol. 22, n. 4, pp. 565-593. 
cies at the rural urban fringe,” Photogrammetric Engineer- 
ing and Remote Sensing, vol. 56, pp. 6773. W.L. Stefanov, M.S. Ramsey, and P.R. Christensen, 2001. 
“Monitoring urban land cover change: An expert system 
P. Gong, D.J. Marceau, and P.J. Howarth, 1992. “A com- approach to land cover classification of semiarid to arid 
parison of spatial feature extraction algorithms for land- urban centers,” Remote Sensing of Environment, vol. 77, 
use classification with SPOT HRV data.” Remote Sensing pp. 173185. 
of Environment, vol. 40, pp. 137151. : m= 
Urban Environmental Monitoring (UEM) Project - 
GUS home page, 2004. Global Urban Monitoring with ASTER, project 
http://Www.gmesurbanservices.com home page at Arizona State University, 2004. 
http://elwood.la.asu.edu/grsl//UEM/ 
V. Karathanassi, Ch. Iossifidis, D. Rokos, 2000. *A texture- 
based classification method for classifying built areas ac- | United Nations Human Settlements Programme (HABI- 
cording to their density,” Int. J. Remote Sens., Yol. 21.1.9, TAT), home page, 2004. http://www.unhabitat.org 
pp. 1807-1823. dt 1 266 
Y. Zhang, 1999. “Optimization of building detection in 
C. C. Kontoes, V. Raptis, M. Lautner and R. Oberstadler, satellite images by combining multispectral classification 
2000. “The use of kernel classification techniques for land and texture filtering,” ISPRS J. of Photogramm. Remote 
use mapping in urban areas using Sm-spatial resolution ~~ Sens., Vol. 54, pp. 50-60. 
IRS-1C imagery,” Int. J. Remote Sensing, Vol. 21, n. 16, 
pp. 31453151. 
F.P. Kressler, T.B. Bauer, K.T. Steinnocher, 2001. “Object- 
oriellted per-parcel land use classification of very high res- 
olution images;" Proc. of the JEEE/ISPRS Joint Workshop 
324
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.