Full text: Proceedings, XXth congress (Part 7)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
REFERENCES 
Alpin, P., Atkinson, P... Curran, P. 1999.  Pre-field 
Classification of Land Use the forthcoming very fine Resolution 
Satellite Sensors: Problems and Potential Solution. In: 
Atkinson/Tade (eds.), Advances in Remote Sensing and GIS 
analysis. Wiley & son, Chichester, 219-239. 
Baatz, M., Schape, A. 1999, Object-oriented and Multiscale 
image Analysis in Semantic Networks, Proc. Of the a 
international symposium on operalization of remote sensing. 
August 16^ — 20", Ensched. ITC 
Blaschke, T., Lang, s. lorup, E. Strobl, J, Zeile, P. (2000), 
object- oriented Image processing in an Integrated GIS/ Remote 
Sensing Environment and Perspectives for Environmental 
Applications, Metropolis reflag, Marburg, vol2: 555-570 
Cohen, W. B., and Spies, T. A., 1992, Estimating structural 
attributes of Douglas-fir/western hemlock forests stands from 
Landsat and SPOT imagery. Remote Sensing of Environment. 
41, pp. 1-17. 
De kok, R.; Schneider, T.; Baatz, M.; Ammer, U., 1999, object 
based image analysis of high-resolution data in the alpine forest 
ECognition User guide, 2002, http www.definiens- 
imaging.com. 
Gorte, B., 1998. Probabilistic Segmentation of remotely sensed 
images, ITC, publication 63, Ph.D. Thesis, ITC, Enschede 
Haralick, R. M., Shanmugane, K. and Dinsteine, I., 1973. 
Textural features for Image classification. IEEE Transactions on 
systems, Man, and Cybernetics, SMC — 310: PP: 610-621 
Hildebrandt, G. 1996. Fernerkundung und luftbildmessung, für 
Forestwirtschaft, vegetationskartierung und 
landschaftsókologie. 
Ivits, E., Koch, B., 2000, object-oriented remote sensing tools 
for biodiversity assessment: a European approach, http:\\ 
www.definiens-imaging.com 
Jensen, J.R., D. Cowen, J.D. Althausen, S. Narumalani, and O. 
Weatherbee (1993) An evaluation of the Coast Watch change 
detection protocol in South Carolina. Photogrammetric 
Engineering & Remote sensing 59(6): 1039-1046. 
Schwarz, M., Stein Meier, CH., Waser, L., 2001, Detection of 
storm losses in alpine forest areas by different methodical 
approaches using high-resolution satellite data, in: 21st 
EARSOL symposium, Paris. 
Shataee, SH., Mohajer, M., 2002, Forest Classification on the 
Basis of Thick Trees (Case Study: Research Forest of Faculty of 
Natural Resources in Kheyroudkenar), Iranian Journal of 
Natural Resources, Volume 55, No.3. 
Willhauck. G, 2000, comparison of object oriented 
classification techniques and standard image analysis for the use 
of change detection between spot multispectral satellite images 
and aerial photos, ISPRS, Vol. XXXIII, Amsterdam, 2000. 
area, in: joint WSFISPRS WG 1/1, 1/3, and IV/4:SENSORS 
AND MAPPING FROM SPACE, 1999, Hanover, September 
27-30, 1999. . 
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