A Method for Two-Dimensional Temperature Distribution Reconstruction Using Compactly Supported and Gaussian Radial Basis Function

In this paper, a new method for two-dimensional temperature distribution reconstruction using compactly supported and gaussian radial basis function is presented. And then the reconstruction performance is validated via numerical studies using temperature model. Experimental results indicate that the proposed method holds a relatively great performance of temperature distribution reconstruction and stronger anti-interference.