ERT image reconstruction based on DPSO-ATikhonov regularization algorithm

Tikhonov regularization algorithm is obviously influenced by prior information, and the selection of prior information determines the imaging quality of Tikhonov regularization algorithm. In this paper, a spatial adaptive tikhonov regularization algorithm processed by double-population PSO algorithm(DPSO-ATikhonov) is proposed, which can automatically find the initial regularization coefficient and contraction factor required by the spatial adaptive algorithm, solve the problem of prior information of the regularization algorithm, and further improve the image quality. Compared with the traditional Tikhonov regularization algorithm, the experimental results show that the algorithm can solve the prior information confusion and obtain better imaging results.