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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 
  
The fusion of the panchromatic orthoimage and the 
multispectral orthoimage led to a pan-sharpened orthoimage of 
I-m and four bands, which preserves the spatial and spectral 
characteristics of both images. This conclusion is confirmed by 
the criteria used for the evaluation of the quality of the pan- 
sharpened image. 
A supervised classification based on the fuzzy logic was 
applied initially to the whole image but did not have good 
results. Since the classification of urban areas is usually 
difficult having complex structures of various materials 
(asphalt, cement, glass), it was decided to classify separately 
the urban and the tree-covered part. This resulted in satisfactory 
classification for both image parts. 
Finally, certain ways of visualizing the DTM and the pan- 
sharpened orthoimage were presented for the observation of the 
study area. 
REFERENCES 
Behdinian, B., 2002. Generating orthoimage from Ikonos data. 
Publication in session “Very high resolution mapping” in 23 
Asian Conference on Remote Sensing, Kathmandu, Nepal. 
http://www .gisdevelopment.net/aars/acrs/2002/vhr/017.pdf 
(accessed 2 Oct. 2003) 
Dare, P., Pendlebury, N., Fraser, C., 2002. Digital orthomosaics 
as a source of control for geometrically correcting high 
resolution satellite imagery. Publication in session “Very high 
resolution mapping” in 23™ Asian Conference on Remote 
Sensing, Kathmandu, Nepal. 
http://www .gisdevelopment.net/aars/acrs/2002/vhr/108.pdf 
(accessed 2 Oct. 2003) 
Di K., Ma, R., Li, R., 2003. Rational Functions and potential for 
rigorous sensor model recovery. Photogrammetric Engineering 
& Remote Sensing, Vol. 69, No. 1, pp. 33-41. 
Dial, G., Grodecki, J., 2002. IKONOS accuracy without ground 
control. Proceedings of ISPRS Comission I Mid-Term 
Symposium, Denver, USA. 
http://www.spaceimaging.com/whitepapers pdfs/2002/IKONO 
S%20Accuracy%20without%20Ground%20Control- 
ISPRS96202002.pdf (accessed 19 Oct. 2003) 
Erdas, 1999. Erdas Field Guide, Erdas 5" ed., USA, pp. 226- 
236, 357-364. 
Graf, C.K., 1995. Realistic landscape rendering using remote 
sensing images, digital terrain models and 3D objects. Remote 
Sensing series, Zurich, Vol. 25, pp. 1-12. 
Haala, N., Walter, 1999. Automatic classification of urban 
environments for database revision using Lidar and Color 
Aerial Imagery. In: The International Archives of the 
Photogrammetry and Remote Sensing, Valladolid, Spain, Vol. 
32, Part 7-4-3 W6. 
Grocecki, J., Dial, G., 2003. Block Adjustment of High- 
Resolution Satellite Images Described by Rational Polynomials. 
Photogrammetric Engineering & Remote Sensing, Vol. 69, No. 
l, pp. 59-68. 
Kratky, V., 1989. Rigorous photogrammetric processing of 
SPOT images at CCM Canada. 
Photogrammetry and Remote Sensing, No. 44, pp. 53-71. 
ISPRS Journal of 
191 
Kuo, C., Chou, T. Lee, R., 2001. Identification characteristic 
using Ikonos high-resolution satellite image. Publication in 
session “Very high resolution mapping” in 22" Asian 
Conference on Remote Sensing, Singapore,... 
http://www.crisp.nus.edu.sg/-acrs2001/pdf/171KUO.pdf 
(accessed 10 Sep. 2003) 
Li, J., 2000. Spatial quality evaluation of fusion of different 
resolution images. In: The International Archives of 
Photogrammetry and Remote Sensing, Amsterdam, 
Netherlands, Vol. XXXIII, Part B7, pp. 752-759. 
Pohl, C., Van, G.J.L., 1998. Multisensor Image Fusion in 
Remote Sensing: Concepts, Methods and Applications. 
International Journal Remote Sensing, Vol. 19, No. 5, pp. 823- 
854. 
Schickler, W., Thorpe, A., 1998. Operational procedure for 
automatic true orthophoto generation. In: The International 
Archives of the Photogrammetry and Remote Sensing, Stuttgart, 
Germany, Vol. 32, Part 4, pp. 527-532. 
Tao, V.C., Hu, Y., 2001. A comprehensive study of the 
Rational Function Model for photogrammetric processing. 
Photogrammetric Engineering & Remote Sensing, Vol. 67, No. 
12, pp. 1347-1357. 
Tsakiri-Strati, M., Papadopoulou, M., Georgoula, O., 2002. 
Fusion of XS SPOT4 and PAN SPOT2 images and assessment 
of the spectral quality of the products. Technika Chronika, 
Scientific Journal of the 
Technical Chamber of Greece, Section A, vol. 22, No. 3. 
Wald, L., Ranchin, T., Mangolini, M., 1997. Fusion of satellite 
images of different spatial resolutions: Assessing the quality of 
resulting images. Photogrammetric Engineering & Remote 
Sensing, Vol. 63, No. 6, pp. 691-699. 
Yesou, H., Besnus, Y., Rolet, J., 1993. Extraction of Spectral 
Information from Landsat TM Data and Merger with SPOT 
Panchromatic Imagery- A Contribution to the Study of 
Geological Structures. /SPRS Journal of Photogrammetry and 
Remote Sensing, Vol. 48, No. 5, pp. 23-36. 
Yu, Z., Gixian, Z., Guangliang, W., Zoingjian, L., 2002. Urban 
land-use classification using integrated airborne laser scanning 
data and high resolution multi-spectral satellite imagery. 
Proceedings of ISPRS Comission I Mid-Term Symposium, 
Denver, USA. 
http://www. isprs.org/commission I /proceedings/paper/00100.pd 
f (accessed 1 Oct. 2003) 
Zhang, Y., 2001. Texture-Integrated Classification of Urban 
Treed Areas in High-Resolution Color-Infrared Imagery. 
Photogrammetric Engineering & Remote Sensing, Vol. 67, No. 
12, pp. 1359-1365. 
Zhang, J., Foody, G.M., 1998. A fuzzy classification of sub- 
urban land cover from remotely sensed imagery. International 
Journal Remote Sensing, Vol. 19, No. 14, pp. 2721-2738. 
Zhou, J., Civco, D.L., Silander, J.A., 1998. A wavelet 
transformation method to merge Landsat TM and Spot 
panchromatic data. International Journal Remote Sensing, Vol. 
19, No. 4, pp. 743-757.