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 (In Persian).
