Spatial techniques for image classification

Signal and Image Processing for Remote Sensing

Volumn , Issue , 2006, Pages 491-513

  Aksoy, Selim ^a  

^a BILKENT UNIVERSITY   (Turkey)

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[No Author keywords available]

Indexed keywords

EID: 84896394712     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (28)

1. S.S. Durbha and R.L. King, Knowledge mining in earth observation data archives: a domain ontology perspective, in Proceedings of IEEE International Geoscience and Remote Sensing Symposium, September 1, 2004.
2. D.A. Landgrebe, Signal Theory Methods in Multispectral Remote Sensing, John Wiley & Sons, Inc., New York, 2003.
3. G.G. Wilkinson, Results and implications of a study of fifteen years of satellite image classification experiments, IEEE Transactions on Geoscience and Remote Sensing, 43(3), 433-440, 2005.
4. M. Datcu, H. Daschiel, A. Pelizzari, M. Quartulli, A. Galoppo, A. Colapicchioni, M. Pastori, K. Seidel, P.G. Marchetti, and S. D’Elia, Information mining in remote sensing image archives: system concepts, IEEE Transactions on Geoscience and Remote Sensing, 41(12), 2923-2936, 2003.
5. R.M. Haralick and L.G. Shapiro, Computer and Robot Vision, Addison-Wesley, Reading, MA, 1992.
6. R.L. Kettig and D.A. Landgrebe, Classification of multispectral image data by extraction and classification of homogeneous objects, IEEE Transactions on Geoscience Electronics, GE-14(1), 19-26, 1976.
7. C. Evans, R. Jones, I. Svalbe, and M. Berman, Segmenting multispectral Landsat TM images into field units, IEEE Transactions on Geoscience and Remote Sensing, 40(5), 1054-1064, 2002.
8. A. Sarkar, M.K. Biswas, B. Kartikeyan, V. Kumar, K.L. Majumder, and D.K. Pal, A MRF modelbased segmentation approach to classification for multispectral imagery, IEEE Transactions on Geoscience and Remote Sensing, 40(5), 1102-1113, 2002.
9. J.C. Tilton, G. Marchisio, K. Koperski, and M. Datcu, Image information mining utilizing hierarchical segmentation, in Proceedings of IEEE International Geoscience and Remote Sensing Symposium, 2, 1029-1031, Toronto, Canada, June 2002.
10. G.G. Hazel, Object-level change detection in spectral imagery, IEEE Transactions on Geoscience and Remote Sensing, 39(3), 553-561, 2001.
11. T. Blaschke, Object-based contextual image classification built on image segmentation, in Proceedings of IEEE GRSS Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 113-119, Washington, DC, October 2003.
12. A. Rydberg and G. Borgefors, Integrated method for boundary delineation of agricultural fields in multispectral satellite images, IEEE Transactions on Geoscience and Remote Sensing, 39(11), 2514-2520, 2001.
13. S. Aksoy, K. Koperski, C. Tusk, G. Marchisio, and J.C. Tilton, Learning Bayesian classifiers for scene classification with a visual grammar, IEEE Transactions on Geoscience and Remote Sensing, 43(3), 581-589, 2005.
14. S. Aksoy and H.G. Akcay, Multi-resolution segmentation and shape analysis for remote sensing image classification, in Proceedings of 2nd International Conference on Recent Advances in Space Technologies, Istanbul, Turkey, June 9-11, 599-604, 2005.
15. S. Aksoy, K. Koperski, C. Tusk, and G. Marchisio, Interactive training of advanced classifiers for mining remote sensing image archives, in Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 773-782, Seattle, WA, August 22-25, 2004.
16. R.O. Duda, P.E. Hart, and D.G. Stork, Pattern Classification, John Wiley & Sons, Inc., New York, 2000.
17. B.S. Manjunath and W.Y. Ma, Texture features for browsing and retrieval of image data, IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(8), 837-842, 1996.
18. S. Aksoy and R.M. Haralick, Feature normalization and likelihood-based similarity measures for image retrieval, Pattern Recognition Letters, 22(5), 563-582, 2001.
19. M. Schroder, H. Rehrauer, K. Siedel, and M. Datcu, Interactive learning and probabilistic retrieval in remote sensing image archives, IEEE Transactions on Geoscience and Remote Sensing, 38(5), 2288-2298, 2000.
20. C.M. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, Oxford, 1995.
21. M.H. DeGroot, Optimal Statistical Decisions, McGraw-Hill, New York, 1970.
22. D. Geiger and D. Heckerman, A characterization of the Dirichlet distribution through global and local parameter independence, The Annals of Statistics, 25(3), 1344-1369, 1997, MSRTR-94-16.
23. T.M. Mitchell, Machine Learning, McGraw-Hill, New York, 1997.
24. R.F. Krichevskiy, Laplace’s law of succession and universal encoding, IEEE Transactions on Information Theory, 44(1), 296-303, 1998.
25. S. Aksoy, C. Tusk, K. Koperski, and G. Marchisio, Scene modeling and image mining with a visual grammar, in C.H. Chen, ed., Frontiers of Remote Sensing Information Processing, World Scientific, 2003, 35-62.
26. J. Shi and J. Malik, Normalized cuts and image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8), 888-905, 2000.
27. D. Comaniciu and P. Meer, Mean shift: a robust approach toward feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(5), 603-619, 2002.
28. P. Paclik, R.P.W. Duin, G.M.P. van Kempen, and R. Kohlus, Segmentation of multispectral images using the combined classifier approach, Image and Vision Computing, 21(6), 473-482, 2003.