New classification method for remotely sensed imagery via multiple-point simulation: Experiment and assessment

Journal of Applied Remote Sensing

Volumn 2, Issue 1, 2008, Pages

  Ge, Yong ^a,c   Bai, He X ^a   Cheng, Qiuming ^b,c  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b CHINA UNIVERSITY OF GEOSCIENCES   (China)

^c YORK UNIVERSITY   (Canada)

Author keywords

Classification; Multiple point simulation; Spatial information; Spectral information

Indexed keywords

IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; MAXIMUM LIKELIHOOD; REMOTE SENSING;

CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; MAXIMUM LIKELIHOOD CLASSIFIERS; MULTIPLE POINTS; REMOTELY SENSED IMAGERY; SPATIAL INFORMATIONS; SPECTRAL INFORMATION; STRUCTURAL INFORMATION;

CLASSIFICATION (OF INFORMATION);

EID: 61349098955     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.2990037     Document Type: Article

References (21)

1. P. Gong, "An efficient contextual classifier for land-use classification," Int. Geosci. Rem. Sens. Symp., 555-557(1992).
2. S. E. Franklin, R. J. Hall, L. M. Moskal, A. J. Maudie, and M. B. Lavigne, "Incorporating texture into classification of forest species composition from airborne multispectral images," Int. J. Rem. Sens. 21, 61-79 (2000) [doi:10.1080/014311600210993].
3. A. Denis, "Geostatistical classification and class kriging," J. Geogr. Inform. Decis. Anal. 2(2), 77-90(1998).
4. F. Guardiano and R. M. Srivastava, "Multivariate geostatistics: beyond bivariate moments," in Geostatistics-Troia, vol. 01, A. Soares, Ed., pp.133-144, Kluwer Academic Publications (1993).
5. A. Journel, "Geostatistics: roadblocks and challenges in geostatistics," in Geostatistics-Troia, vol. 01, A. Soares, Ed., pp.213-214, Kluwer Academic Publications (1993).
6. S. Strebelle, "Sequential simulation drawing structures from training images," Ph.D. Thesis, Stanford University (2000).
7. A. Journel and T. Zhang, "From maximum entropy to pattern recognition: the advent of multiple-point simulation,"in Proc. Int. Assoc. Mathematical Geol., 726-731 (2005).
8. T. Zhang, P. Switzer, and A. Journel, "Merging prior structural interpretation and local data: The bayes updating of multiple-point statistics," Proc. Int. Assoc. Mathematical Geol., 615-620(2005).
9. S. Strebelle and A. Journel, "Reservoir modeling using multiple-point statistics," in Proc. Am. Assoc. Petroleum Geologists Ann. Meet., Paper SPE 71324 (2002).
10. Y. Ge, H.X. Bai, and D.Y. Li, "A classification method for remotely sensed imagery by integrating with spatial structure information," in 7th Int. Symp. Spatial Accuracy Assessment Natural Resources Environ. Sci., pp. 588-594(2006).
11. Y. Ge, H.X. Bai, and Q.M. Cheng, "The solution of multiple-point statistics to extract information from remotely sensed imagery," J. China Univ. Geosci. (in press)
12. Y.H. Liu, "Using the Snesim program for multiple-point statistical simulation," Comput. Geosci. 32(10), 1544-1563(2006) [doi:10.1016/j.cageo.2006.02.008].
13. A. P. Dempster, "Upper and lower probabilities induced by multivalued mapping," Ann. Math. Stat. 38(3), 325-339(1967).
14. G. A. Shafer, Mathematical Theory of Evidence, pp. 35-56, Princeton University Press, Princeton, NJ (1976).
15. J. Guan and D. A. Bell, "Evidence Theory and its Applications, vol. 1," Studies in Computer Science and Artificial Intelligence Series, Elsevier, Amsterdam (1991).
16. PCI Inc., PCI online help, Version 9.0., PCI Enterprises, Richmond Hill, ON (2003).
17. F. Maselli, C. Conese, L. Petkov, "Use of probability entropy for the estimation and graphical representation of the accuracy of maximum likelihood classifications," ISPRS J. Photogram. Rem. Sens. 49(2), 13-20 (1994)[doi:10.1016/0924-2716(94)90062-0].
18. T. C. Edwards, G. G. Moisen and D. R. Culter, "Assessing Map Accuracy in a remotely sensed, ecoregion-scale cover map - a user's perspective," Rem. Sens. Environ. 63, 73-83(1998) [doi:10.1016/S0034- 4257(96)00246-5].
19. R. G. Congalton, K. Green, Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, pp.49-53, Lewis Publishers, Boca Raton, FL (1999).
20. J. Gómez-Hernández, "A stochastic approach to the simulation of block conductivity fields conditioned upon data measured at a smaller scale," Ph.D. Thesis, Stanford University (1991).
21. T. Trans, "Improving variogram reproduction on dense simulation grids," Comput. Geosci. 20(7), 1161-1168 (1994) [doi:10.1016/0098-3004(94)90069-8].