Application of a Generative Adversarial Network in Image Reconstruction of Magnetic Induction Tomography

Image reconstruction of Magnetic induction tomography (MIT) is an ill-posed problem. The non-linear characteristics lead many difficulties to its solution. In this paper, a method based on a Generative Adversarial Network (GAN) is presented to tackle these barriers. Firstly, the principle of MIT is...

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出版年:	Sensors
主要な著者:	Dan Yang, Jiahua Liu, Yuchen Wang, Bin Xu, Xu Wang
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2021-06-01
主題:	magnetic induction tomography image reconstruction generative adversarial network conductivity distribution
オンライン･アクセス:	https://www.mdpi.com/1424-8220/21/11/3869