Spatial data collection is a time/money consuming task in activities related to geospatial sciences. Spatial data integration increases the efficiency of spatial data through cost reduction. Therefore, developing matching algorithms is of vital importance in spatial data integration, data updating and data accuracy enhancement. The main objective of this research is to design and develop a semi-automatic vector matching system. The developed system simulates human brain process in its matching procedure. Priliminary results are promissing. Further reaseaches are required to examine the system efficiency.
Mousavi, A., & Alesheikh, A. (2011). Design and Implementation of a Semi-Automatic Vector Matching Algorithm. Journal of Civil and Surveying Engineering, 45(1), 113-124.
MLA
Azam Mousavi; Aliasghar Alesheikh. "Design and Implementation of a Semi-Automatic Vector Matching Algorithm", Journal of Civil and Surveying Engineering, 45, 1, 2011, 113-124.
HARVARD
Mousavi, A., Alesheikh, A. (2011). 'Design and Implementation of a Semi-Automatic Vector Matching Algorithm', Journal of Civil and Surveying Engineering, 45(1), pp. 113-124.
VANCOUVER
Mousavi, A., Alesheikh, A. Design and Implementation of a Semi-Automatic Vector Matching Algorithm. Journal of Civil and Surveying Engineering, 2011; 45(1): 113-124.
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