Designing a rule-based classifier using syntactical approach

International Journal of Remote Sensing

Volumn 24, Issue 4, 2003, Pages 637-647

  Onsi, H M ^a  

^a NATIONAL AUTHORITY FOR REMOTE SENSING AND SPACE SCIENCES   (Egypt)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); KNOWLEDGE BASED SYSTEMS; LIBRARIES; PATTERN RECOGNITION;

UNSUPERVISED CLASSIFIERS;

REMOTE SENSING;

CLASSIFICATION; LAND USE; PATTERN RECOGNITION; REMOTE SENSING; SPECTRAL ANALYSIS; THEMATIC MAPPING;

EID: 0037455687     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160010026041     Document Type: Article

References (16)

1. AHO, A. V., and ULMAN, J. D., 1972, The Theory of Parsing Translation, and Computing, Vol. 1 (Englewood Cliffs, New Jersey: Prentice-Hall).
2. ANIL, K. J., 1986, Cluster analysis. In Handbook of Pattern Recognition and Image Processing, edited by T. Y. Young and K. S. Fu (London: Academic Press), pp. 33-57.
3. AWCOCK, G. J., and THOMAS, R., 1995, Applied Image Processing, Macmillan New Electronics, Introductions to Advanced Topics (London: Macmillan Press), pp. 188-191.
4. DUBOIS, D., PRADE, H., and YAGER, R. R., 1997, Fuzzy Information Engineering: A Guided Tour of Applications (Chichester: Wiley).
5. DUDA, R. O., and HART, P. E., 1973, Pattern Classification and Scene Analysis (New York: Wiley).
6. GONZALEZ, R. C., and WINTZ, P., 1987, Digital Image Processing, 2nd edn (Ontario, Canada: Addison Wesley), pp. 414-417.
7. LIHUA, L., and FORSTER, C., 1998, Features and themes, overview of feature extraction and spectral classification and the impact of spatial resolution satellite image data. International Society for Photogrammetry and Remote Sensing (ISPRS) Symposium Proceedings (Budapest: International Congress for Photogrammetry and Remote Sensing), pp. 245-249.
8. LILLESAND, T., and KIEFER, R. W., 1979, Remote Sensing and Image Interpretation, 2nd edn (Chichester: Wiley), pp. 668-694.
9. LOW, A., 1991, Introductory Computer Vision and Image Processing (London: McGraw-Hill), pp. 151-164.
10. FU, K. S., 1986, Syntactic pattern recognition. In Handbook of Pattern Recognition and Image Processing, edited by T. Y. Young and, K. S. Fu (London: Academic Press), pp. 85-117.
11. MURTAGH, F., and CAMPBELL, J., 1996, Image processing (Ac60). BSc Applied Computing (1220), Year 4, University of Ulster, Magee College, www.infm.ulst.a.c.uk/research/ ac460/ip8a/ip8a.html.
12. ONSI, H. M., 1985, Clustering techniques applications in remote sensing. MSc thesis of Electrical Engineering, Faculty of Engineering, Cairo University, Egypt, pp. 21-61.
13. SCHALKOFF, R. J., 1992, Pattern Recognition: Statistical, Structural and Neural Approaches (Chichester: Wiley), pp. 2-6, pp. 155-172.
14. SCHOTT, J. R., 1997, Remote Sensing: The Image Chain Approach (New York: Oxford University Press), pp. 255-288.
15. THOMASON, M. G., 1986, Syntactic pattern recognition: stochastic languages. In Handbook of Pattern Recognition and Image Processing, edited by T. Y. Young and K. S. Fu (London: Academic Press), pp. 119-142.
16. WONG, E. K., 1994, Syntactic image pattern recognition. In Digital Image Processing Methods, edited by E. R. Dougherty (New York: Marcel Dekker), pp. 167-193.