Learning bayesian classifiers for scene classification with a visual grammar

IEEE Transactions on Geoscience and Remote Sensing

Volumn 43, Issue 3, 2005, Pages 581-589

  Aksoy, Selim ^a   Koperski, Krzysztof ^b   Tusk, Carsten ^b   Marchisio, Giovanni ^b   Tilton, James C ^c  

^a BILKENT UNIVERSITY   (Turkey)

^b Insightful Corporation   (United States)

^c NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

Data fusion; Image classification; Image segmentation; Spatial relationships; Visual grammar

Indexed keywords

CLASSIFIERS; COMPUTER SIMULATION; CONTENT BASED RETRIEVAL; IMAGE SEGMENTATION; SEMANTICS; SENSOR DATA FUSION; TEXTURES;

DATA FUSION; NAIVE BAYES CLASSIFIERS; SPATIAL RELATIONSHIPS; VISUAL GRAMMAR;

PATTERN RECOGNITION;

EID: 14644388144     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2004.839547     Document Type: Conference Paper

References (21)

1. M. Schroder, H. Rehrauer, K. Siedel, and M. Datcu, "Interactive learning and probabilistic retrieval in remote sensing image archives," IEEE Trans. Geosci. Remote Sens., vol. 38, no. 5, pp. 2288-2298, Sep. 2000.
2. S. I. Hay, M. F. Myers, N. Maynard, and D. J. Rogers, Eds., "Special Issue: From Remote Sensing to Relevant Sensing in Human Health," Photogramm. Eng. Remote Sens., vol. 68, no. 2, Feb. 2002.
3. K. Koperski, G. Marchisio, S. Aksoy, and C. Tusk, "VisiMine: Interactive mining in image databases," in Proc. IGARSS, vol. 3, Toronto, ON, Canada, Jun. 2002, pp. 1810-1812.
4. A. C. Shaw, "Parsing of graph-representable pictures," J. ACM, vol. 17, no. 3, pp. 453-481, Jul. 1970.
5. J. R. Smith and S.-F. Chang, "VisualSEEk: A fully automated content-based image query system," in Proc. ACM Int. Conf. Multimedia, Boston, MA, Nov. 1996, pp. 87-98.
6. P. J. Neal, L. G. Shapiro, and C. Rosse, "The digital anatomist structural abstraction: A scheme for the spatial description of anatomical entities," in Proc. Amer. Medical Informatics Assoc. Annu. Symp., Lake Buena Vista, FL, Nov. 1998.
7. W. W. Chu, C.-C. Hsu, A. F. Cardenas, and R. K. Taira, "Knowledge-based image retrieval with spatial and temporal constructs," IEEE Trans. Knowl. Data Eng., vol. 10, no. 6, pp. 872-888, Nov./Dec. 1998.
8. L. H. Tang, R. Hanka, H. H. S. Ip, and R. Lam, "Extraction of semantic features of histological images for content-based retrieval of images," in Proc. SPIE Conf. Medical Imaging, vol. 3662, San Diego, CA, Feb. 1999, pp. 360-368.
9. E. G. M. Petrakis and C. Faloutsos, "Similarity searching in medical image databases," IEEE Trans. Knowl. Data Eng., vol. 9, no. 3, pp. 435-447, May/Jun. 1997.
10. S. Aksoy, G. Marchisio, K. Koperski, and C. Tusk, "Probabilistic retrieval with a visual grammar," in Proc. IGARSS, vol. 2, Toronto, ON, Canada, Jun. 2002, pp. 1041-1043.
11. S. Aksoy, C. Tusk, K. Koperski, and G. Marchisio, "Scene modeling and image mining with a visual grammar," in Frontiers of Remote Sensing Information Processing, C. H. Chen, Ed. Singapore: World Scientific, 2003, pp. 35-62.
12. G. M. Haley and B. S. Manjunath, "Rotation-invariant texture classification using a complete space-frequency model," IEEE Trans. Image Process., vol. 8, no. 2, pp. 255-269, Feb. 1999.
13. R. M. Haralick, K. Shanmugam, and I. Dinstein, "Textural features for image classification," IEEE Trans. Syst., Man, Cybern., vol. SMC-3, no. 6, pp. 610-621, Nov. 1973.
14. J. C. Tilton, G. Marchisio, K. Koperski, and M. Datcu, "Image information mining utilizing hierarchical segmentation," in Proc. IGARSS, vol. 2, Toronto, ON, Canada, Jun. 2002, pp. 1029-1031.
15. C. M. Bishop, Neural Networks for Pattern Recognition. Oxford, U.K.: Oxford Univ. Press, 1995.
16. M. H. DeGroot, Optimal Statistical Decisions. New York: McGraw-Hill, 1970.
17. D. Geiger and D. Heckerman, "A characterization of the Dirichlet distribution through global and local parameter independence," Ann. Stat., vol. 25, no. 3, pp. 1344-1369, 1997.
18. T. M. Mitchell, Machine Learning. New York: McGraw-Hill, 1997.
19. R. F. Krichevskiy, "Laplace's law of succession and universal encoding," IEEE Trans. Inf. Theory, vol. 44, no. 1, pp. 296-303, Jan. 1998.
20. S. Aksoy, K. Koperski, C. Tusk, G. Marchisio, and J. C. Tilton, "Learning Bayesian classifiers for a visual grammar," in Proc. IEEE GRSS Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, Washington, DC, Oct. 2003, pp. 212-218.
21. R. M. Haralick and L. G. Shapiro, Computer and Robot Vision. Reading, MA: Addison-Wesley, 1992.