2024
DOI: 10.1063/5.0207985
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Image reconstruction of electrostatic tomography based on the improved residual network

Xianglong Liu,
Danyang Li,
Ying Wang
et al.

Abstract: The core of electrostatic tomography (EST) is to solve the inverse problem, but the EST independent measurement data are much smaller than the value that needs to be reconstructed, resulting in a more serious inverse problem. This paper presents an improved ResNet-34 network (P-ResNet), which consists of an input layer, a residual feature extraction layer, and an output layer. The number of residual blocks is 3, 4, 4, and 3. After the second convolution in the main path of each residual block, a ReLU activatio… Show more

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