Figure - available via license: Creative Commons Attribution 4.0 International
Content may be subject to copyright.
Source publication
The electromagnetic radiation (EMR) data collected along a road have a largely empty region overall, while they have a linear distribution locally. Moreover, the traditional spatial interpolation method is not suitable for the electromagnetic radiation space field (EMR-SF) construction collected along the road. In this paper, a layered radial basis...
Contexts in source publication
Context 1
... interval distance of the grid points of LRBF is set to 7 m. The error statistics for the LRBF with different layered interval distances are shown (Table 4). The accuracy of LRBF with different layered interval distances varies (Table 4). ...Context 2
... error statistics for the LRBF with different layered interval distances are shown (Table 4). The accuracy of LRBF with different layered interval distances varies (Table 4). In general, the accuracy of LRBF gradually improves as the layered interval distance decreases, but it is not better as the layered interval distance decreases. ...Citations
Electromagnetic radiation (EM) pollution has a certain impact on human life and health, and the reconstruction of the EM space field in this paper is of great practical significance for EM analysis and research. The radial basis function (RBF) sufficiently considers the influence of each sampling point and is more suitable for reconstructing the EM space field than other spatial interpolation methods. Currently, when RBF is used to reconstruct the EM space field, the optimal determination of the basis function and shape parameter (SP) is rarely considered. This ultimately leads to low reconstruction accuracy of the EM space field. Therefore, in this paper, the particle swarm optimization (PSO) is used to calculate the optimal SP of the RBF. On this basis, reliable EM space field reconstruction is performed, which helps people understand the EM distribution characteristics in actual situations from a visual perspective. The EM sampling data of a region on the Yunnan Normal University campus are used as the data source, and the RBF under the optimal parameters is used for EM reconstruction. The accuracy of its interpolation results is evaluated and compared and analyzed with inverse distance weighting (IDW) after distance index optimization. The results show that the RBF under optimal parameters reconstructs the EM space field with high accuracy and good effect, which can truly reflect the actual distribution of EM.
