Applying Multi-sensor Electrodes for Image Reconstruction by Machine Learning Methods

The article presents reconstruction of images using machine learning for multi-sensor electrodes model. Designed sensors are designed for deep measurements using electrical tomography. This is an innovative approach to test area properties, including flood embankments.

I. Introduction

In the electrical impedance tomography (EIT), the voltage or current is injected into the object with a set of electrodes attached to its surface [1, 23–26]. The voltage values are measured on the remaining electrodes. The conductivity of the object is reconstructed based on the measurements made and an appropriate algorithm to solve the inverse problem [15, 16, 18, 19, 21, 22, 30–32].