<b>Generation of Isolines using GPS/L<sub>1</sub>L<sub>2</sub> data and Artificial Neural Network technique</b> - DOI: 10.4025/actascitechnol.v28i2.1195
DOI:
https://doi.org/10.4025/actascitechnol.v28i2.1195Keywords:
Isolinhas, GPS, Redes Neurais ArtificiaisAbstract
The objective of this work is to show an alternative for the interpolation process used in Digital Terrain Modeling. GPS surveying data of a kinematic relative positioning were interpolated by means of Artificial Neural Networks (ANN) algorithm. The performance of the generated gridding was compared to the Inverse Square Distance interpolation algorithm data by means of qualitative (isolines and DTM) and quantitative (residuals) analyses. In conclusion, the tested method is viable if compared to the algorithm Inverse of the Square of a Distance. Therefore, the use of ANN is suitable for the interpolation of GPS data obtained from the L1 and L2 carriers phase processingDownloads
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Published
2008-03-20
How to Cite
Souza, E. C. B. de, Ribeiro, S. R. A., Botelho, M. F., Krueger, C. P., & Centeno, J. A. S. (2008). <b>Generation of Isolines using GPS/L<sub>1</sub>L<sub>2</sub> data and Artificial Neural Network technique</b> - DOI: 10.4025/actascitechnol.v28i2.1195. Acta Scientiarum. Technology, 28(2), 205–212. https://doi.org/10.4025/actascitechnol.v28i2.1195
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Section
Civil Engineering
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