Full text: Papers accepted on the basis of peer-reviewed abstracts (Part B)

In: Wagner W., Székely, В. (eds.): ISPRS ТС VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Voi. XXXVIII, Part 7B 
Baatz, M., Schàpe, A., 1999. Object-Oriented and Multi-Scale 
Image Analysis in Semantic Networks. In: Proc. of the 2 nd 
International Symposium on Operationalization of Remote 
Sensing, August 16-20, 1999. Enschede. ITC. 
Blaschke, T., 2010. Object based image analysis for remote 
sensing, ISPRS Journal of Photogrammetry and Remote 
Sensing, Voi. 65(1), pp. 2-16.. 
Flanders, D., M.Hall-Beyer, and J. Pereverzoff, 2003. 
Preliminary Evaluation of eCognition Object-Based 
software for Cut Block Delinieation and Feature 
Extraction. Canadian Journal of Remote Sensing, Voi. 29, 
No. 4, pp. 441-452. 
Hay, G., T. Blaschke, D. Marceau, and A. Bouchard, 2003. A 
Comparison of Three Image-Object Methods for the 
Multiscale 
Hofmann, P , 2001. Detecting Urban Features from IKONOS 
Data using an Object-Oriented Approach. Proceedings of 
the First Annual Conference of the Remote Sensing & 
Photogrammetry Society. RSPS, Munich, Germany, 12-14 
September 2001, pp. 79-91. 
Lavigne, D.A., G. Hong and Y. Zhang, 2006. Performance 
Assessment of Automatic Feature Extraction Tools on 
High Resolution Imagery, MAPPS/ASPRS 2006 Fall 
Conference, November 6-10, 2006, San Antonio, Texas. 
Li, H., Gu, H., Han, Y. and Yang, J., 2009. An efficient 
multiscale SRMMHR (Statistical Region Merging and 
Minimum Heterogeneity Rule) segmentation method for 
high-resolution remote sensing imagery. IEEE Journal of 
Selected Topics in Applied Earth Observations and 
Remote Sensing, 2(2), pp. 67-73. 
Maxwell, T., 2005. Object-Oriented Classification: 
Classification of Pan-Sharpened QuickBird Imagery and a 
Fuzzy Approach to Improving Image Segmentation 
Efficiency. M.Sc.E. thesis, Department of Geodesy and 
Geomatics Engineering Technical report No. 233, 
University of New Brunswick, Fredericton, New 
Brunswick, 157 pp. 
Smith, G.M., and R.D. Morton, 2010. Real World Objects in 
GEOBIA through the Exploitation of Existing Digital 
Cartography and Image Segmentation, Photogrammetric 
Engineering & Remote Sensing, Vol. 76, No. 2,, pp. 163— 
171. 
Zhang, Y., and T. Maxwell, 2006. A trained segmentation 
technique for optimization of object-oriented 
classification, ISPRS Commission VII Mid-term 
Symposium “Remote Sensing: From Pixels to Processes, 
Enschede, the Netherlands, 8-11 May 2006. 
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