The Factors Optimization on Georeferencing Analogue Maps
Autor: | Yasemin Şişman, Aziz Sisman |
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Přispěvatelé: | Ondokuz Mayıs Üniversitesi |
Rok vydání: | 2016 |
Předmět: |
Optimization
Computer science Coordinate system 02 engineering and technology 01 natural sciences Standard deviation Map scale Common point Response surface methodology Georeferencing Computer vision Variable (mathematics) Measurement method Multidisciplinary business.industry Design of experiments 010401 analytical chemistry Pattern recognition 021001 nanoscience & nanotechnology 0104 chemical sciences Georeference Artificial intelligence 0210 nano-technology business |
Zdroj: | Arabian Journal for Science and Engineering. 42:2471-2478 |
ISSN: | 2191-4281 2193-567X |
DOI: | 10.1007/s13369-016-2353-6 |
Popis: | SISMAN, Yasemin/0000-0002-6600-0623 WOS: 000402081500028 The cadastral maps that have been produced in Turkey to date are based on different coordinate systems, map scales, map sheets and measurement methods; however, a great number of these maps are not digital. Today, advances in information systems have made it necessary to digitize these data. For this purpose, the georeferencing technique is commonly used, in which coordinates are transformed between the scanned image and reference coordinate systems. This method is mostly preferred in engineering applications. The accuracy of georeferencing is affected by several factors related to mapping, digitizing and evaluation processes. Experimental designs are widely used to examine the effect of these factors on the response variable. The response surface methodology (RSM) methods are widely used for determining the optimum value of factors and the effects of factors on the response variable. The study was carried out while resolution of scanned maps (DPI), map scale (MS) and the common point number (CPN) are selected as factors and the standard deviation (SD) selected as response variable to determine the optimal factors for accurate georeferencing. To this end, the effect of and interactions between the DPI, MS and CPN were investigated, and their optimum values were obtained using the Box-Behnken method, one of the RSM methods. The optimum conditions for MS and CPN were determined as 1/1000 and 8, respectively. |
Databáze: | OpenAIRE |
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