2018年10月16日 · Image reconstruction is a key problem for electrical resistance tomography (ERT). Because of the soft-field nature and the ill-posed problem in solving inverse problem, traditional image reconstruction methods cannot achieve high accuracy and the process is usually time consuming.

To improve the image reconstruction accuracy of ERT, a novel deep learning method using convolutional neural network (CNN) and visual geometry group (VGG) is proposed. The network structure is based on CNN, and the convolution group adopts the convolution stacking method in the VGG model, and uses batch normalization and dropout strategies to ...

2012年10月1日 · The image reconstruction for ERT is an inverse problem to find the conductivity distribution of an object by measuring the voltage between sets of electrodes placed around its periphery. The conjugate gradient (CG) method is one of the most popular methods applied for image reconstruction, although its convergence rate is low.

2024年5月1日 · By incorporating measurement sensitivity adjustments, the reconstructed ERT images demonstrated improved resolution. This investigation highlights the potential of single-side ERT as a valuable tool for tomographic imaging in infrastructure structures such as …

2022年4月1日 · In this paper, we propose a novel 1D-MBCNN for ERT image reconstruction that can retain the sequence information of the measured voltage and enable a more accurate nonlinear mapping relationship between the voltage and conductivity through three different branches for ERT image reconstruction.

Image reconstruction is the key part of electrical resistance tomography. Because it is a nonlinear and ill posed mathematical problem, the traditional image reconstruction methods cannot achieve high accuracy. Therefore, this paper proposes a deep learning method based on Res2net4 network for ERT image reconstruction.

2024年10月27日 · 电阻率层析成像 (Electrical Resistivity Tomography, ERT) 是一种利用地下介质电阻率差异进行成像的地球物理方法。 通过在地表布置多个电极，注入电流并测量电极间的电压，可以获得地下电阻率分布信息，从而识别地下结构、物质组成及含水饱和度等参数。

2017年2月3日 · ERT的激励方式是指对成像目标区域施加激励信号的方法，在ERT系统中激励方 式直接决定了测量数据的信息量和信噪比，并最终影响成像质量，因此，ERT技术的关

电阻层析成像(Electrical Resistance Tomography,ERT)是电学层析成像(Electrical Tomography,ET)的一种模态,其成像对象为电导率分布。 该技术通过布置在被测物场边界上的电极阵列,形成从不同方向扫描物场的敏感场。

电阻率层析成像法（Electrical Resistivity Tomography, ERT）已被广泛用于土壤水文过程研究，充分了解ERT在土壤水文学中的应用及进展是研究土壤水文过程的关键。