DNESYS—An Expert System For Automatic Extraction of Drainage Networks From Digital Elevation Data

IEEE Transactions on Geoscience and Remote Sensing

Volumn 28, Issue 1, 1990, Pages 29-45

  Qian, Jianzhong ^a   Ehrich, Roger W ^a   Campbell, James B ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE--EXPERT SYSTEMS; DATABASE SYSTEMS; MAPS AND MAPPING;

DEMPSTER-SHAFER EVIDENCE THEORY; DIGITAL ELEVATION MAPS; DRAINAGE NETWORK EXTRACTION SYSTEM (DNESYS); DRAINAGE SYSTEMS MAPPING; PARAMETERIZED DIRECTED GRAPH; UNCERTAIN REASONING;

DRAINAGE;

EID: 0025257973     PISSN: 01962892     EISSN: 15580644     Source Type: Journal    
DOI: 10.1109/36.45743     Document Type: Article

References (20)

1. A. A. Elassal and V. M. Caruso, “Digital elevation models,” U.S. Geol. Survey, Reston, VA, Circular 895-B, 1983, 40pp.
2. J. F. O'Callaghan and D. M. Mark, “The extraction of drainage networks from digital elevation data,” Comput. Vision, Graphics, and Image Process., vol. 28, pp. 323–344, 1984.
3. S. K. Jenson, “Automated derivation of hydrologic basin characteristics from digital elevation model data,” U.S. Geol. Survey, Pub., Nov. 15, 1984.
4. E. Garland and R. W. Ehrich, “A GIPSY primer,” Spatial Data Analysis Lab., Virginia Polytechnic Instit. and State Univ., Blacksburg, VA, Dec. 1987.
5. R. M. Haralick, J. B. Campbell, and S. Wang, “Automatic inference of elevation and drainage models from a satellite image,” Proc. IEEE, vol. 73, pp. 1040–1053, June 1985.
6. E. R. Zerniz, “Drainage patterns and their significance,” J. Theoret. Biology, vol. 40, pp. 498–521, 1932.
7. R. E. Horton, “Erosional development of streams and their drainage basins: Hydrophysical approach to quantitative morphology,” Geol. Soc. Amer. Bull., vol. 56, pp. 275–370, 1945.
8. A. D. Howard, “Optimal angles of stream junctions: Geometric stability to capture and minimum power criterion,” Water Resources Res., vol. 7, no. 4, pp. 863–873, 1971.
9. A. G. Roy, “Optical angular geometry model of river branching,” Geograph. Analysis, vol. 15, no. 2, pp. 87–96, 1983.
10. J. R. Lubowe, “Stream junction angles in the dendritic drainage patterns,” Amer. J. Sci., vol. 262, no. 3, pp. 325–339, 1964.
11. C. Arcelli and G. Sanniti, “A thinning algorithm based on prominence detection,” Pattern Recognition, vol. 13, no. 3, pp. 225–235, 1981.
12. G. Shafer, A Mathematical Theory of Evidence. Princeton, NJ: Princeton Univ. Press, 1976.
13. E. Shortliffe, Computer-Based Medical Consultations: MYCIN. New York: Elsevier, 1976.
14. D. Heckerman, “Probabilistic interpretations for MYCIN'S certainty factor,” in Uncertainty in Artificial Intelligence, L. N. Kanal and J. F. Lemer, Eds. New York: Elsevier, 1986, pp. 167–195.
15. J. F. Baldwin, “Fuzzy logic and fuzzy reasoning,” in Fuzzy Reasoning and its Application, E. M. Mamdani and B. R. Gaines, Eds. London: Academic, 1981, pp. 133–148.
16. I. Goodman and H. Nguyen, Uncertainty Model for Knowledge-Based Systems. New York: Elsevier, 1985.
17. R. O. Duda, P. E. Hart, and N. J. Nilsson, “Subjective Bayesian methods for rule-based inference systems,” in Proc. 1976 Nat. Comput. Conf, pp. 1075–1082.
18. V. R. Lesser and L. D. Erman, “A retrospective view of the HEAR-SAY-II architecture,” in Proc. 5th IJCAI (Cambridge, MA), Aug. 1977, pp. 790–800.
19. M. Minsky, “A framework for representing knowledge,” in The Psychology of Computer Vision, P. H. Winston, Ed. New York: McGraw-Hill, 1975, pp. 211–267.
20. D. F. Rogers and J. A. Adams, Mathematical Elements for Computer Graphics. New York: McGraw-Hill, 1976, pp. 116–155.