Classification of Multispectral Image Data by the Binary Diamond Neural Network and by Nonparametric, Pixel-by-Pixel Methods

IEEE Transactions on Geoscience and Remote Sensing

Volumn 31, Issue 3, 1993, Pages 606-617

  Salu, Yehuda ^a,b   Tilton, James ^b  

^a HOWARD UNIVERSITY   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); IMAGE ANALYSIS; NEURAL NETWORKS; PARAMETER ESTIMATION;

BINARY DIAMOND NEURAL NETWORK; LANDSAT 4 THEMATIC MAPPER; MULTISPECTRAL IMAGE DATA; NONPARAMETRIC PIXEL BY PIXEL METHODS;

MULTISPECTRAL SCANNERS;

EID: 0027595914     PISSN: 01962892     EISSN: 15580644     Source Type: Journal    
DOI: 10.1109/36.225528     Document Type: Article

References (26)

1. M. James Classification Algorithms. New York: John Wiley and Sons, 1985.
2. N. M. Short, The Landsat Tutorial Morkbook. NASA Reference Publication 1078, 1992.
3. P. J. Curran, Principles of Remote Sensing. New York: Longmans, 1985.
4. T. M. Lillesand and R. W. Kiefer, Remote Sensing and Image Interpretation. New York: John Wiley and Sons, 1987.
5. R. Harris, Satellite Remote Sensing. London: Routledge & Kegan Paul, 1987.
6. P. H. Swain and S. M. Davis, Remote Sensing, the Qualitative Approach. New York McGraw Hill, 1978.
7. P. D. Wasserman, Neural Computing, Theory and Practice. New York: Van Nostrand Reinhold, 1989.
8. R. P. Lippman, “An Introduction to computing with neuralnets,” IEEE Trans. Acoust., Speech, Signal Processing, vol. SP-35, pp. 4-22, 1987.
9. D.E. Rumelhart, G.E. Hinton, and R.J. Williams, “Learning internal representatiions by error propagation,” in Parallel Distributed Processing. vol. 1 D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: MIT press, 1986, pp. 318-362.
10. Y. Salu, “A neural network that stores and retrieves information like the brain,” in Models of Brain Function, R. M. J. Cotterill, Ed. Cambridge, England: Cambridge University Press, 1989, pp. 553-561.
11. Y. Salu, “The Binary Diamond: a common sensing neural network,” submitted for publication, 1991.
12. C. J. Tucker, “Red and photographic infrared linear combinations for mapping vegetation,” Remote Sensing of Environment, vel. 8, pp. 127-150, 1979.
13. S.R. Schneider, D.F. McGinnis, Jr., and G. Stephens, “Monitoring Aftrica's Lake Chad with Landsat and NOM satellite data,” Int. J. Remote Sensing, vol. 6, pp, 59-73, 1985.
14. H. Yam, A. Strong, D. McGinnis, Jr., and D. Tarpley, “Terrestrial observation from NOAA operational satellites,” Science, vol. 231, pp, 463-470, 1986.
15. K. Fukunaga, Introduction to Statistical Pattern Recognition. New York: Academic Press, 1972, pp. 225-233.
16. J. R. G. Townshend, “Agricultural land-cover discrimination using thematic mapper spectral bands,” Int. J. Remote Sensing, vol. 5, pp. 681-698, 1984.
17. A. A. D. Canas and M. E. Barnett, “The generation and interpretation of false-colour composite principal component images,” Int. J. Remote Sensing, vel, 6, pp, 867-881, 1985.
18. W. W. Armstrong and J. Gecsei, “Adaptation algorithms for binary tree networks,” IEEE Trans. Systems, Man, and Cybernetics, vol. SMC-9, pp. 276-285, 1979.
19. W. W. Armstrong and J. Gecsei, “Architecture of a tree-based image processor,” in 12th Asifomar Conference on Circuits, Systems, and Computers, pp. 345-349, 1975.
20. D. L. Williams, J. R. Irons, B. L. Markham, R. F. Nelson, D. L. Toll, R. S. Latty, and M. L. Stauffer, “A statistical evaluation of the advantages of Landsat Thematic mapper data in comparison to multi-spectral scanner data,” IEEi5 Trans. Geosci, Remote Sensing, Val. GE-22, PP. 294-301, 1984.
21. Y. Salu and J. Tilton, “Non-parametric analysis of Landsat maps using neural nets and parallel computers,” 20th AIPR Workshop, SPIE, vol. 1623, pp. 174-183, 1992.
22. W. J. Campbell, S. E. HILI, and R. F. Cromp, “The utilization of neural nets in populating an object-oriented database,” in the 1989 Goddard Conference on Space Applications of Artificial Intelligence, NASA conference publication 3033.
23. N. J. Mulder and Spreewers, “Neural networks applied to the classification of remotely sensed data,” Proceedings of IGARSS, pp. 2211-2213, 1991.
24. T. Jamad, “Back-propagation with expected source values,” Neural Networks, vol. 4., pp. 615-618, 1991.
25. R. L. Kettig and D. A. Landgrebe, “Classification of multispectral image data by extraction and classification of homogeneous objects,” IEEE Trans. Geosci. Electronics, vol. GE-14, pp. 19-26, 1976.
26. J. Bryant, “On the clustering of multidimensional pictorial data,” Pattern Recognition, vol. 4, pp. 115-125, 1979.