Automated Extraction of Linear Features from Aerial Imagery Using Kohonen Learning and GIS Data

1. Firestone, L., Rupert, S., Meuller, W.: Automated Feature Extraction: The Key to Future Productivity. Photogrammetric Engineering & Remote Sensing. Vol. 62, No. 6. (1996) 671–676

   Google Scholar 

2. Kohonen, T.: Self-Organized Formation of Topologically Correct Feature Maps. Biological Cybernetics. Vol. 43. (1982) 59–69

   Article  MATH  MathSciNet  Google Scholar 

3. Hebb, D.O.: The Organization of Behavior: A Neuropsychological Theory. Wiley, New York (1949)

   Google Scholar 

4. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active Contour Models, International Journal of Computer Vision, Vol. 1, No. 4. (1988) 321–331

   Article  Google Scholar 

5. Haykin, S.: Neural Networks. Upper Saddle River, New Jersey, Prentice Hall (1999)

   Google Scholar 

6. Kohonen, T.: Self-Organizing Maps (2nd Ed.). Springer-Verlag Berlin Heidelberg (1997)

   MATH  Google Scholar 

7. Kohonen, T.: Things You Haven’t Heard about the Self-Organizing Map. Proceedings of the IEEE International Conference on Neural Networks, San Francisco. (1993) 1464–1480

   Google Scholar 

8. Demuth, H., Beale, M.: Neural Network Toolbox User’s Guide (Version 3.0). The MathWorks, Inc., Natick, MA (1998)

   Google Scholar 

9. Steinmaus, K.L., Perry E.M., Foote H.P., Petrie, E.M., Wurstner S.K., Irwin D.E., Stephan A.J.: Hyperspectral Landcover Classification for the Yakima Training Center, Yakima, Washington. Pacific Northwest National Laboratory, Richland, Washington. PNNL-11871 (1998)

   Google Scholar 

10. Langrebe, D.A.: Useful Information from Multispectral Image Data: Another Look. In: Swain, P.H., Davis, S.M.: Chapter 7 of: Remote Sensing: The Quantitative Approach. McGraw-Hill Int., New York (1978)

    Google Scholar 

11. Eklundh, L., Singh, A.: A Comparative Analysis of Standardized and Unstandardized Principle Components Analysis in Remote Sensing. International Journal of Remote Sensing. Vol. 14, No. 7. (1993) 1359–1370

    Article  Google Scholar 

12. Jolliffe, I.: Principle Component Analysis. Springer-Verlag, New York (1986)

    Google Scholar 

13. Tou, J.T., Gonzales, R.C.: Pattern Recognition Principles. Addison-Wesley, Reading, MA (1974)

    MATH  Google Scholar 

14. Rummelhart D.E., McClelland J.L. (eds.): Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Vol. 1. MIT Press, Cambridge, MA (1986)

    Google Scholar 

15. Specht, D.F.: Probabilistic Neural Networks and the Polynomial Adaline as Complementary Techniques for Classification. IEEE Transactions on Neural Networks. Vol. 1, No. 1. (1990) 111–121

    Article  Google Scholar 

16. Poggio, T., Girosi, F.: Regularization Algorithms for Learning that are Equivalent to Multilayer Networks. Science, Vol. 247 (1990) 978–982

    Article  MathSciNet  Google Scholar 

17. Walter, V., Fritsch, D.: Automatic Verification of GIS Data Using High Resolution Multispectral Data. In: International Archives of Photogrammetry and Remote Sensing (ISPRS). Vol. 32, Part 3/1. (1998) 485–489

    Google Scholar 

18. Mckeown, D.A., Harvey, W.A., McDermott, J.: Rule-based Interpretation of Aerial Images. IEEE Transactions on Pattern and Machine Intelligence. Vol. PAMI-7, No. 5. (1985) 570–585

    Google Scholar 

19. Neuenschwander, W., Fau, P., Szekely, G., Kubler, O.: From Ziplock Snakes to Velcro Surfaces. In: Gruen, A., Kuebler, O., Agouris, P. (eds.): Automated Extraction of Man-Made Objects from Aerial and Space Images. Birkhauser Verlag, Basel Boston Berlin (1995) 105–114

    Google Scholar 

20. Tsao, E.C.-K., Bezdek, J.C., Pal, N.R. Fuzzy Kohonen Clustering Networks. Pattern Recognition. Vol. 27, No. 5. (1994) 757–764

    Article  Google Scholar 

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