Exemplifying the theory of evidence in remote sensing image classification

International Journal of Remote Sensing

Volumn 22, Issue 6, 2001, Pages 1081-1095

  Mertikas, P ^a   Zervakis, M E ^a  

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; MATHEMATICAL TECHNIQUES;

IMAGE CLASSIFICATIONS;

REMOTE SENSING;

IMAGE CLASSIFICATION; REMOTE SENSING;

EID: 0035871181     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160118597     Document Type: Article

References (22)

1. ANDERSON, T. W., 1984, An introduction to Multivariate Statistical Analysis (New York: John Wiley & Sons).
2. Awcock, G. L., and Thomas, R., 1995, Applied Image Analysis, Macmillan New Electronics, Introduction to Advanced Topics (London: Macmillan).
3. CAMPBELL, B. J., 1987, Introduction to Remote Sensing (New York: Guilford Press).
4. CASTELMAN, K. R., 1996, Digital Image Processing (Englewood Cliffs, New Jersey: Prentice Hall).
5. Congalton, R. G., and Green, K., 1998, Assessing the Accuracy of Remotely Sensed Data: principles and practices (Boca Raton, Florida: Lewis Publishers).
6. CURRAN, P. J., 1985, Principles of Remote Sensing (New York: Longman).
7. DUDA, R. O., and HART, P. E., 1973, Pattern Classification and Scene Analysis (New York: John Wiley and Sons).
8. Hutchinson, C. F., 1982, Techniques for combining Landsat and ancillary data for digital classification improvement. Photogrammetric Engineering and Remote Sensing, 48, 123-130.
9. JENSEN, R. J., 1995, Introductory Digital Image Processing: a remote sensing perspective, 2nd edn (Upper Saddle River, New Jersey: Prentice Hall).
10. KLIR, G. J., and YUAN, B., 1995, Fuzzy Sets and Fuzzy Logic: theory and applications (Upper Saddle River, New Jersey: Prentice Hall).
11. Lee, T., Richards, J. A., and Swain, P. H., 1987, Probabilistic and evidential approaches for multi-source data analysis. IEEE Transactions on Geoscience and Remote Sensing, 25, 283-292.
12. Peddle, D. R., 1995, Mercury⊕: an evidential reasoning image classifier. Computers & Geosciences, 21, 1163-1176.
13. RICHARDS, J. A., 1993, Remote Sensing Digital Image Analysis: an introduction, 2nd edn (Berlin: Springer-Verlag).
14. Schowengerdt, R. A., 1983, Techniques for Image Processing and Classification (San Diego, California: Academic Press).
15. SCHOWENGERDT, R. A., 1997, Remote Sensing: models and methods for image processing (San Diego, California: Academic Press).
16. SHAFER, G., 1976, Mathematical Theory of Evidence (Princeton, New Jersey: Princeton University Press).
17. SHAFER, G., 1996, Probabilistic Expert Systems. Cbms-NSF Regional Conference Series in Applied Mathematics No. 67, Society for Industrial & Applied Mathematics (Philadelphia, PA: SIAM).
18. SHAFER, G., and PEARL, J., 1990, Readings in Uncertainty Reasoning, Morgan Kaufmann Series in Representation and Reasoning (San Mateo, California: Morgan Kaufmann).
19. Srinivasan, A., and Richards, J. A., 1990, Knowledge-based techniques for multi-source classification. International Journal of Remote Sensing, 11, 505-525.
20. Strahler A. H., Logan, T. L., and Bryant, N. A., 1978, Improving forest cover classification accuracy from Landsat by incorporating topographic information. Proceedings of the 12 th International Symposium on Remote Sensing Environment (Ann Arbor, MI: ERIM), pp. 927-942.
21. Tessem, B., 1993, Approximations for efficient computation in the theory of evidence. Artificial Intelligence, 61, 315-329.
22. Yager, R. R. J., Kacprzyk, J., and Fedrizzi, M., 1994, Advances in the Dempster-Shafer theory of evidence (New York: John Wiley and Sons).