Integrating multiple classifiers with fuzzy majority voting for improved land cover classification

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 38, Issue , 2010, Pages 7-12

  Salah, M ^a   Trinder, J C ^a   Shaker, A ^b   Hamed, M ^b   Elsagheer, A ^b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b Dept of Surveying Faculty of Engineering Shoubra Benha University ^*  (Egypt)

Author keywords

Aerial Images; Attributes; Fuzzy Majority Voting; GLCM; Hybrid Classifier; Lidar

Indexed keywords

COMPUTER VISION; CONFORMAL MAPPING; ERRORS; IMAGE PROCESSING; OPTICAL RADAR; PHOTOGRAMMETRY; SELF ORGANIZING MAPS; SUPPORT VECTOR MACHINES; TREES (MATHEMATICS);

AERIAL IMAGES; ATTRIBUTES; FUZZY MAJORITY VOTING; GLCM; HYBRID CLASSIFIER;

IMAGE ANALYSIS;

EID: 84896973408     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Alimohammadi, A., H.R. Rabiei, and P.Z. Firouzabadi, 2004. A new approach for modeling uncertainty in remote sensing change detection process, Proceedings of the 12th International Conference on Geoinformatics-Geospatial Information Research: Bridging the Pacific and Atlantic, 07-09 June 2004, University of Gavle, Sweden, pp. 503-508.
2. Benediktsson, J.A., Chanussot, J. and Fauvel, M., 2007. Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments: MCS 2007, LNCS 4472, (M. Haindl, J. Kittler, and F. Roli, editors), Springer Verlag, Berlin 2007, pp. 501-512.
3. Breiman, L., Friedman, J., Olshen, R., and Stone, C. J. (editors), 1984. Classification and Regression Trees, Chapman & Hall, New York, 358 p.
4. Förstner, W., and Gülch, E., 1987. A fast operator for detection and precise location of distinct points, Corners and Centres of Circular Features. Proceedings of the ISPRS 1987 Intercommission Workshop on Fast Processing of Photogrammetric Data, 2-4 June 1987, Interlaken, Switzerland, pp. 281-305.
5. Giacinto, G., and F. Roli, 2001. Design of effective neural network ensembles for image classification purposes. Image Vision and Computing Journal, 19 (9-10):669-707.
6. Hao, H., C.L. Liu, and H. Sako, 2003. Comparison of Genetic Algorithm and sequential search methods for classifier subset selection. Proceeding of the seventh International Conference on document Analysis and Recognition (ICDAR), 3-6 August 2003, Edinburgh, Scotland, pp. 765-769.
7. Herrera, F. and Verdegay, J. L., 1996. A linguistic decision process in group decision making. Group Decision Negotiation, 5, pp. 165-176.
8. Hugo, C., Capao, L., Fernando, B. and Mario, C., 2006. Meris Based Land Cover Classification with Self-Organizing Maps: preliminary results, Proceedings of the 2nd EARSeL SIG Workshop on Land Use & Land Cover, 28-30 September 2006, Bonn, Germany, unpaginated CD-ROM.
9. Kanellopoulos, I., G. Wilkinson, F. Roli, and J. Austin (editors) 1997. Neurocomputation in Remote Sensing Data Analysis Springer, Berlin.
10. Kohonen, T., 2001. Self-Organizing Maps. Third Edition, Springer, New York.
11. Lam, L., and CY. Suen, 1997. Application of majority voting to pattern recognition: an analysis of its behaviour and performance. IEEE Transactions on Systems, Man, and Cybernetics, 27 (5): 553-568.
12. Le, A.C., V.N. Huynh, A. Shimazu, and Y. Nakamori, 2007. Combining classifiers for word sense disambiguation based on Dempster-Shafer theory and OWA operators. Data & Knowledge Engineering, 63 (2):381-396.
13. Mountrakis, G., R. Watts, L. Luo, and J. Wang, 2009. Developing Collaborative Classifiers using an Expert-based Model. Photogrammetric Engineering and Remote Sensing, 75 (7):831-844.
14. Salah, M., Trinder, J. and Shaker, A., 2009. Evaluation of the self-organizing map classifier for building detection from lidar data and multispectral aerial images. Journal of Spatial Science, 54, pp. 15-34.
15. Vapnik, V., 1979. Estimation of Dependences Based on Empirical Data [in Russian]. Nauka, Moscow, 1979. (English translation: Springer Verlag, New York, 1982).
16. Yager, R.R., 1998. On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Transactions on Systems, Man, and Cybernetics, 18, pp. 183-190.
17. Yu-Chang, T. and C. Kun-Shan, 2009. An adaptive thresholding multiple classifiers system for remote sensing image classification. Photogrammetry Engineering and Remote Sensing, 75 (6):679-687.
18. Zadeh, L. A., 1983. A computational approach to fuzzy quantifiers in natural languages. Computers and Mathematics with Applications, 9, pp.149-184.