Abstract:
Since time immemorial, preparation of maps is taking place. In the process of map preparation size of the paper or drawing material plays a major role and defines the requirement of scale factor. When the size of presentation exceeds the limit, it is being splitted in to multiple sheets. When it comes to combine again, the geometrical data sets are match from these splitted maps into a single map on the basis of common matched edge.
Edge matching is one of the most useful procedures in processing of spatial data. But several frequently used methods have showed their shortcomings. They are blind to erroneous data included in the original data, and most of them are sensitive to a threshold. An effective matching procedure is required to correct most of the errors included in the data. Geometric feature based edge matching procedure is one such. method which is applied because every type of geographical element has innate geometric features represented by the geometric data (coordinates). These data are processed by comparing the geometric features. So the geometric features of elements may be regarded as credible data in the process of alignment of boundaries of a map.
A procedure has been implemented in which the used input vector data sets are considered to the scaled one. Then comparing the distance between two adjacent points of reference map edge to the candidate (common component) map edges. On the basis of the consecutive matching of the point's distance and application of geometric transformation, the resultant is a desired output map with
