Probabilistic and Evidential Approaches for Multisource Data Analysis

IEEE Transactions on Geoscience and Remote Sensing

Volumn GE-25, Issue 3, 1987, Pages 283-293

  Lee, Tong ^a   Richards, John A ^a   Swain, Philip H ^b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

REMOTE SENSING - IMAGING TECHNIQUES;

MULTISOURCE DATA ANALYSIS; REMOTE SENSING IMAGE DATA; SPATIAL DATA;

IMAGE PROCESSING;

EID: 0022721406     PISSN: 01962892     EISSN: 15580644     Source Type: Journal    
DOI: 10.1109/TGRS.1987.289800     Document Type: Article

References (10)

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2. A. H. Strahler and N. A. Bryant, “Improving forest cover classification accuracy from Landsat by incorporating topographic informa tion, in Proc. 12th Int. Symp. Remote Sensing Environment (Environmental Research Institute of Michigan), pp. 927–942, Apr. 1978.
3. C. F. Hutchinson, “Techniques for combining Landsat and ancillary data for digital classification improvement,” Photogrammetr. Eng. Remote Sensing, vol. 48, pp. 123–130, 1982.
4. J. A. Richards, D. A. Landgrebe, and P. H. Swain, “A means for utilizing ancillary information in multispectral classification,” Remote Sensing Environ., vol. 12, pp. 463–477, 1982.
5. G. Shafer, A Mathematical Theory of Evidence. Princeton, NJ: Princeton Univ. Press, 1979.
6. T. D. Garvey, J. D. Lowrance and M. A. Fischler, “An inference technique for integrating knowledge from disparate sources,” in Proc. 7th Int. Conf. Artificial Intelligence (Vancouver, British Columbia), pp. 319–325, 1981.
7. M. Goldberg, D. G. Goodenough, M. Alvo, and G. M. Karam, “A hierarchical expert system for updating forestry maps with Landsat data,” Proc. IEEE, vol. 73, pp. 1054–1063, 1985.
8. J. A. Barnett, “Computational methods for a mathematical theory of evidence,” in Proc. 7th Int. Conf. Artificial Intelligence (Vancouver, British Columbia), 868-875, 1981.
9. P. H. Swain, J. A. Richards, and T. Lee, “Multisource data analysis in remote sensing and geographic information systems,” in Proc. 11th Int. Symp. Machine Processing Remotely Sensed Data (Laboratory for Applications of Remote Sensing, West Lafayette, IN), pp. 211–218, 1985.
10. T. Lee “Multisource context classification methods in remote sensing,” Ph.D. dissertation, Univ. of New South Wales, Kensington, Australia, 1987.