Article detail · 2010
Coordinate transformation by radial basis function neural network
Journal
Scientific Research and Essays- Year
- 2010
- Type
- article
Data source split
- YÖKSİS venue Scientific Research and Essays
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
The Turkish National Geodetic Network (TNGN) datum (ED50) was changed to the Turkish National Fundamental GPS Network (TNFGN) datum (WGS84) in 2001 in parallel with the increasing use of GPS technology. Due to this reference frame change it became necessary to transform the existing coordinate information between ED50 and WGS84. The two-dimensional (2D) affine transformation is widely used for coordinate transformation. The objective of this study is proposing a radial basis function neural network (RBFNN) that has been more widely applied in function approximation as an alternative coordinate transformation method. 2D affine transformation (Affine) method and RBFNN are evaluated over a study area, in terms of the root mean square error (RMSE). The results showed that RBFNN transformed the plane coordinates (Y, X) of the check points with a better accuracy (± 0.011 m, ± 0.013 m, respectively) than Affine method and pointed out that RBFNN can be used for coordinate transformation. Key words: Coordinate transformation, artificial neural network, radial basis function, affine transformation.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
25 citations
OpenAlex cited_by_count (cache / database)
10 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Prediction of geodetic point velocity using MLPNN, GRNN, and RBFNN models: a comparative study 2021
- 2D COORDINATE TRANSFORMATION USING ARTIFICIAL NEURAL NETWORKS 2016
- Coordinate transformation of cadastral maps using different adjustment methods 2014
- Datum Transformation by Artificial Neural Networks for Geographic Information Systems Applications 2012
- Georeferencing of the Nile River in Piri Reis 1521 map, Using Artificial Neural Network Method 2019
- Application of artificial neural networks to height transformation 2017
- The Factors Optimization on Georeferencing Analogue Maps 2017
- The Factors Optimization on Georeferencing Analogue Maps 2016
- A Full Factorial Design Approach for Coordinate Transformation 2014
- Çok Katmanlı Algılayıcı Yapay Sinir Ağı ile Jeodezik Elipsoidal Koordinatların (φ, λ, h) 3 Boyutlu Global Kartezyen Koordinatlara (X, Y, Z) Dönüşümü 2020