Application of multi-source data for process analysis in electrical tomography

The article presents the use of multi-source data to analyse processes in electric tomography. Tomography is a technique for imaging the inside of an examined object based on measurements taken at its edge. Depending on the technological specifics, you can see both advantages and disadvantages in terms of accuracy, frequency and resolution of reproduced images. Electric tomography is an imaging technique that uses different electrical properties of different types of materials. The collected information is processed by an algorithm that reconstructs the image. Solving the inverse problem, we obtain the distribution of material coefficients in the studied area. Image reconstruction methods in this work were based on machine learning.