The extraction of small scale maps from large scale maps requires a generalization process. The authors of this paper describe a system for the automatic extraction of leveling lines which uses the generalization of individual lines based on a natural principle. In order to extract new levels from two initial adjacent levels, a middle-axis algorithm has been used. The system has been extensively tested using real data. Visual surveys show that the quality of the generalized levels is very favorable.
Khajeh (Translator),K. (2002). Automatic Generalization of Systematic Elevation Maps Based on the Natural Principle of Object-Based Generalization. Scientific- Research Quarterly of Geographical Data (SEPEHR), 11(41), 27-29.
MLA
Khajeh (Translator),K. . "Automatic Generalization of Systematic Elevation Maps Based on the Natural Principle of Object-Based Generalization", Scientific- Research Quarterly of Geographical Data (SEPEHR), 11, 41, 2002, 27-29.
HARVARD
Khajeh (Translator) K. (2002). 'Automatic Generalization of Systematic Elevation Maps Based on the Natural Principle of Object-Based Generalization', Scientific- Research Quarterly of Geographical Data (SEPEHR), 11(41), pp. 27-29.
CHICAGO
K. Khajeh (Translator), "Automatic Generalization of Systematic Elevation Maps Based on the Natural Principle of Object-Based Generalization," Scientific- Research Quarterly of Geographical Data (SEPEHR), 11 41 (2002): 27-29,
VANCOUVER
Khajeh (Translator) K. Automatic Generalization of Systematic Elevation Maps Based on the Natural Principle of Object-Based Generalization. SEPEHR, 2002; 11(41): 27-29.
