Integrated analysis of spatial data from multiple sources: Using evidential reasoning and artificial neural network techniques for geological mapping

Photogrammetric Engineering and Remote Sensing

Volumn 62, Issue 5, 1996, Pages 513-523

  Gong, P ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; EVIDENTIAL REASONING; GEOLOGICAL MAPPING; INTEGRATED ANALYSIS; MULTISOURCE DATA; NEURAL NETWORK; SPATIAL DATA;

CANADA, NORTHWEST TERRITORIES; CANADA, NORTHWEST TERRITORIES, MELVILLE PENINSULA;

EID: 0029768950     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (51)

1. An, P., W.M. Moon, and G.F. Bonham-Carter, 1992. On knowledge-based approach of integrating remote sensing, geophysical and geological information, IGARSS'92, Houston, Texas, May 1992, pp. 34-38.
2. Azimi-Sadjadi, M.R., S. Chaloum, and R. Zoughi, 1993. Terrain classification in SAR images using principal components analysis and neural networks, IEEE Trans. on Geos. and Remote Sens., 31(2):511-515.
3. Benediktsson, J.A., P.H. Swain, and O.K. Esroy, 1993. Conjugate-gradient neural networks in classification of multisource and very-high-dimensional remote sensing data, Int. J. of Remote Sensing, 14(15):2883-2903.
4. Bezdek, J.C., R. Ehrlich, and W. Full, 1984. FCM: the fuzzy c-means clustering algorithm, Computers and Geoscience, 10:191-203.
5. Chen, J., P. Gong, J. Nie, and J.A.R. Blais, 1993. Application of neural networks in forest ecological classification, Technical Papers of ASPRS/ACSM Annual Convention, New Orleans, Louisiana, 3:65-71.
6. Chung, C.F., P. Gong, A.N. Rencz, and M. Schau, 1993. Geological mapping in Melville Peninsula, Northwest Territories, Canada using multisource remote sensing and geophysical data, IGARSS'93, Tokyo, Japan, 18-21 August, pp. 913-916.
7. Chung, C.F., and W.M. Moon, 1991. Combination rules of spatial geoscience data for mineral exploration, Geoinformatics, 2:159-169.
8. Cibula, W.G., and H.M. Nyquist, 1987. Use of topographic and climatological models in geographical data base to improve Landsat MSS classification for Olympic National Park, Photogrammetric Engineering & Remote Sensing, 53(1):67-76.
9. Civco, D.L., 1993. Artificial neural networks for land-cover classification and mapping, Int. J. Geographical Information Systems, 7(2):173-186.
10. Cohen, J., 1960. A coefficient of agreement for nominal scales, Educational and Psychological Measurement, 20(1):37-46.
11. Corr, D.G., A.M. Tailor, A. Cross, D.C. Hogg, D.H. Lawrence, D.C. Mason, and M. Petrou, 1989. Progress in automatic analysis of multi-temporal remotely-sensed data, Int. J. of Remote Sensing, 10(7):1175-1195.
12. Dreyer, P., 1993. Classification of land cover using optimized neural nets on SPOT data, Photogrammetric Engineering & Remote Sensing, 59(5):617-621.
13. Duda, R.O., and P.E. Hart, 1973. Pattern Classification and Scene Analysis, Wiley and Sons, New York, 482 p.
14. Durrand, J.M., and Y.H. Kerr, 1989. An improved decorrelation method for the efficient display of multispectral data, IEEE Trans. on Geos. and Remote Sens., 27(5):611-619.
15. Fleiss, J.L., J. Cohen, and B.S. Everitt, 1969. Large sample standard errors of Kappa and weighted Kappa, Psychological Bulletin, 72(5):323-327.
16. Freeman, J.A., and D.M. Skapura, 1991. Neural Networks: Algorithms, Applications and Programming Techniques, Addison-Wesley, New York.
17. Goldberg, M., D.G. Goodenough, M. Alvo, and G.M. Karam, 1985. A hierarchical expert system for updating forestry maps with Landsat data, Proceedings of IEEE, 73(6):1054-1063.
18. Gong, P., 1994. Integrated analysis of spatial data from multiple sources, an overview, Canadian J. of Remote Sens., 20(4):349-359.
19. Gong, P., A. Zhang, J. Chen, R.J. Hall, I.W.G. Corns, 1994. Ecological land systems classification using multisource data and neural networks, GIS'94, Vancouver, B.C., February, pp. 659-664.
20. Gong, P., and D.J. Dunlop, 1991. Comments on Skidmore and Turner's supervised nonparametric classifier, Photogrammetric Engineering & Remote Sensing, 57(1):1311-1313.
21. Gordon, J., and E.H. Shortliffe, 1985. A method for managing evidential reasoning in a hierarchical hypothesis space, Artificial Intelligence, 26:323-377.
22. Hepner, G.F., T. Logan, N. Ritter, and N. Bryant, 1990. Artificial neural network classification using minimal training set, Photogrammetric Engineering & Remote Sensing, 56(4):469.
23. Hutchinson, C.F., 1982. Techniques for combining Landsat and ancillary data for digital classification improvement, Photogrammetric Engineering & Remote Sensing, 48(1):123-130.
24. Jensen, J.R., 1986. Introductory Digital Image Processing: A Remote Sensing Perspective, Prentice-Hall, Englewood Cliffs, New Jersey.
25. Kontoes, C., G.G. Wilkinson, A. Burrill, S. Goffredo, and J. Megier, 1993. An experimental system for the integration of GIS data in knowledge-based image analysis for remote sensing of agriculture, Int. J. Geographical Information Systems, 7(3):247-262.
26. Kruse, R., E. Schwecke, J. Heinsohn, 1991. Uncertainty and Vagueness in Knowledge Based Systems, Springer-Verlag, New York.
27. Lee, T., J.A. Richards, and P.H. Swain, 1987. Probabilistic and evidential approaches for multisource data analysis, IEEE Trans. on Geos. and Remote Sens., 25(3):283-293.
28. Liu, C., and P. Burrough, 1987. Fuzzy reasoning: a new quantitative aid for land evaluation, Soil Survey and Land Evaluation, 17(2); 69-80.
29. Marble, D.F., and D.J. Peuquet, 1983. Geographic information systems and remote sensing, Manual of Remote Sensing, Second Edition (R.N. Colwell, editor), American Society for Photogrammetry and Remote Sensing, Vol. 1, pp. 923-958.
30. Moon, W.M., 1990. Integration of geophysical and geological data using evidential belief function, IEEE Trans. on Geos. and Remote Sens., 28(4):711-720.
31. Mulder, J., and I. Corns, 1993. A decision support system for predicting and consolidating ecosystems from existing map data, GIS'93, Vancouver, B.C., pp. 153-159.
32. NCGIA, 1989. The research plan of the National Center for Geographical Information and Analysis, Int. J. Geographical Information Systems, 3(2):117-136.
33. Pao, Y., 1989. Adaptive Pattern Recognition and Neural Networks, Addison and Wesley, New York.
34. Peddle, D., 1993. An empirical comparison of evidential reasoning, linear discriminant analysis and maximum likelihood algorithms for alpine land cover classification, Canadian J. of Remote Sens., 19(1):31-43.
35. Peddle, D.R., G.M. Foody, A. Zhang, S.E. Franklin, and E.F. LeDrew, 1994. Multisource image classification II: An empirical comparison of evidential reasoning and neural network approaches, Canadian J. of Remote Sens., 20(4):396-407.
36. Richards, J.A., 1986. Remote Sensing Digital Image Analysis: An Introduction, Springer-Verlag, New York.
37. Robinson, A.H., R.D. Sale, and J.L. Morrison, 1984. Elements of Cartography, John Wiley & Sons, New York.
38. Rumelhart, D.E., G.E. Hinton, and R.J. Williams, 1986. Learning internal representations by error propagation, Parallel Distributed Processing - Explorations in the Microstructure of Cognition, Vol. 1 (D.E. Rumelhart and J.L. McClelland, editors), The MIT Press, Massachusetts, pp. 318-362.
39. Salu, Y., and J. Tilton, 1993. Classification of multispectral image data by binary diamond neural network and by nonparametric, pixel-by-pixel methods, IEEE Trans, on Geos. and Remote Sens., 31(3):606-616.
40. Shafer, G., 1976. A Mathematical Theory of Evidence, Princeton University Press, Princeton.
41. Shafer, G., and R. Logan, 1987. Implementing Dempster's rule for hierarchical evidence, Artificial Intelligence, 33:271-298.
42. Shi, G., 1994. Evidential Reasoning for Geological Mapping with Multisource Spatial Data, Masters Thesis, Department of Geomatics Engineering, The University of Calgary, Alberta, Canada.
43. Skidmore, A.K., and B.J. Turner, 1988. Forest mapping accuracies are improved using a supervised nonparametric classifier with SPOT data, Photogrammetric Engineering & Remote Sensing, 54(10):1415-1421.
44. Srinivasan, A., and J.A. Richards, 1990. Knowledge-based techniques for multi-source classification, Int. J. of Remote Sensing, 11(3): 505-525.
45. Story, M., and R.G. Congalton, 1986. Accuracy assessment: a user's perspective, Photogrammetric Engineering & Remote Sensing, 52(3):397-399.
46. Sui, D., 1994. Recent applications of neural networks for spatial data handling, Canadian J. of Remote Sens., 20(4):368-379.
47. Swain, P.H., and S.M. Davis, 1978. Remote Sensing: The Quantitative Approach, McGraw-Hill, New York, 396 p.
48. Wang, Y., and D. Civco, 1994. Evidential reasoning-based classification of multisource spatial data for improved land cover mapping, Canadian J. of Remote Sensing, 20(4):381-395.
49. Yen, J., 1989. GERTIS: A Dempster-Shafer approach to diagnosing hierarchical hypotheses, Communications of the ACM, 32(5): 573-585.
50. Zadeh, 1965. Fuzzy sets, Information and Control, 8:338-353.
51. Zhu, A., and L.E. Band, 1994. A knowledge-based approach to data integration for soil mapping, Canadian J. of Remote Sensing, 20(4):408-418.