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:: Volume 9, Issue 1 (7-2021) ::
jgit 2021, 9(1): 1-19 Back to browse issues page
Investigation of Improvement in Georeferencing of Urban Analog Maps using the Geometric Elements and Genetic Algorithm
Hani Rezayan *, Nasser Pourahmad, Javad Sadidi
Kharazmi Univeristy
Abstract:   (235 Views)
A large number of civil registries are available as analog maps that require georeferencing. Besides the quality of the analog maps and control points, the algorithm used for georeferencing also affects the accuracy of the map and the carried out geometrical calculations which indicates the need to study modern Georeferencing Methods. This requires the adoption of georeferencing optimization models and functions so that the required attention should be paid to the determination of the properties limit. Because of the impossibility of geometrical interpretation, we cannot give fixed values to the parameters of affine function for all images. Therefore, this study attempts to set optimized parameters for Affine function using genetic algorithm and considering the geometrical elements of cadastre maps including the area of the pieces of land, length, angle, and the stretch of their constituent lines. To study the proposed method, two scanned, registered cadastre maps related to a part of Tehran as  input data and the control points acquired by GPS have been used. To calculate the accuracy and sensitivity of the method, comparisons like RMSE without applying geometrical elements, RMSE with the application of one of the geometrical elements (level, length, angle, stretch), and RMSE with the application of all geometrical elements have been made. The results of the study suggest that the proposed method with the average RMSE of 2.50205 m has a lower accuracy than the common method with the RMSE of 2.4175. However, in the proposed method, the error rate of geometrical elements of level, length, angle, and stretch has decreased by 40 percent compared to the common method which is a remarkable improvrment.
Keywords: Georeference, Analog maps, Cadastre, Genetic Algorithm, Geometric Elements.
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Type of Study: Research | Subject: GIS
Received: 2019/11/13 | Accepted: 2021/05/5 | Published: 2021/07/22
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Rezayan H, Pourahmad N, Sadidi J. Investigation of Improvement in Georeferencing of Urban Analog Maps using the Geometric Elements and Genetic Algorithm. jgit. 2021; 9 (1) :1-19
URL: http://jgit.kntu.ac.ir/article-1-726-en.html

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Volume 9, Issue 1 (7-2021) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
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