Solving Full-Wave Nonlinear Inverse Scattering Problems by Deep Learning Schemes

2019 IEEE International Conference on Computational Electromagnetics (ICCEM) ◽

10.1109/compem.2019.8779092 ◽

2019 ◽

Author(s):

Zhun Wei ◽

Xudong Chen

Keyword(s):

Deep Learning ◽

Inverse Scattering ◽

Scattering Problems ◽

Full Wave ◽

Inverse Scattering Problems ◽

Learning Schemes

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Deep-Learning Schemes for Full-Wave Nonlinear Inverse Scattering Problems

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2018.2869221 ◽

2019 ◽

Vol 57 (4) ◽

pp. 1849-1860 ◽

Author(s):

Zhun Wei ◽

Xudong Chen

Keyword(s):

Deep Learning ◽

Inverse Scattering ◽

Scattering Problems ◽

Full Wave ◽

Inverse Scattering Problems ◽

Learning Schemes

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Generalization Capabilities of Deep Learning Schemes in Solving Inverse Scattering Problems

2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting ◽

10.1109/apusncursinrsm.2019.8888706 ◽

2019 ◽

Author(s):

Zhun Wei ◽

Xudong Chen

Keyword(s):

Deep Learning ◽

Inverse Scattering ◽

Scattering Problems ◽

Inverse Scattering Problems ◽

Learning Schemes

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Physics-Inspired Convolutional Neural Network for Solving Full-Wave Inverse Scattering Problems

IEEE Transactions on Antennas and Propagation ◽

10.1109/tap.2019.2922779 ◽

2019 ◽

Vol 67 (9) ◽

pp. 6138-6148 ◽

Author(s):

Zhun Wei ◽

Xudong Chen

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Inverse Scattering ◽

Scattering Problems ◽

Full Wave ◽

Inverse Scattering Problems

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Two-Step Enhanced Deep Learning Approach for Electromagnetic Inverse Scattering Problems

IEEE Antennas and Wireless Propagation Letters ◽

10.1109/lawp.2019.2925578 ◽

2019 ◽

Vol 18 (11) ◽

pp. 2254-2258 ◽

Author(s):

He Ming Yao ◽

Wei E. I. Sha ◽

Lijun Jiang

Keyword(s):

Deep Learning ◽

Inverse Scattering ◽

Learning Approach ◽

Scattering Problems ◽

Inverse Scattering Problems ◽

Electromagnetic Inverse Scattering

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A REVIEW OF DEEP LEARNING APPROACHES FOR INVERSE SCATTERING PROBLEMS (INVITED REVIEW)

Progress In Electromagnetics Research ◽

10.2528/pier20030705 ◽

2020 ◽

Vol 167 ◽

pp. 67-81 ◽

Author(s):

Xudong Chen ◽

Zhun Wei ◽

Maokun Li ◽

Paolo Rocca

Keyword(s):

Deep Learning ◽

Inverse Scattering ◽

Learning Approaches ◽

Scattering Problems ◽

Inverse Scattering Problems

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Embedding Deep Learning in Inverse Scattering Problems

IEEE Transactions on Computational Imaging ◽

10.1109/tci.2019.2915580 ◽

2020 ◽

Vol 6 ◽

pp. 46-56 ◽

Author(s):

Yash Sanghvi ◽

Yaswanth Kalepu ◽

Uday K. Khankhoje

Keyword(s):

Deep Learning ◽

Inverse Scattering ◽

Scattering Problems ◽

Inverse Scattering Problems

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On Phase Information For Deep Neural Networks to Solve Full-Wave Nonlinear Inverse Scattering Problems

IEEE Antennas and Wireless Propagation Letters ◽

10.1109/lawp.2021.3100135 ◽

2021 ◽

pp. 1-1

Author(s):

Xiao-Min Pan ◽

Bo-Yue Song ◽

Di Wu ◽

Guohua Wei ◽

Xin-Qing Sheng

Keyword(s):

Neural Networks ◽

Inverse Scattering ◽

Deep Neural Networks ◽

Phase Information ◽

Scattering Problems ◽

Full Wave ◽

Inverse Scattering Problems

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An Improved Deep Learning Scheme for Solving 2D and 3D Inverse Scattering Problems

IEEE Transactions on Antennas and Propagation ◽

10.1109/tap.2020.3027898 ◽

2020 ◽

pp. 1-1

Author(s):

Yulong Zhou ◽

Yu Zhong ◽

Zhun Wei ◽

Tiantian Yin ◽

Xudong Chen

Keyword(s):

Deep Learning ◽

Inverse Scattering ◽

Scattering Problems ◽

Inverse Scattering Problems ◽

Learning Scheme ◽

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Deep Learning-Based Inversion Methods for Solving Inverse Scattering Problems With Phaseless Data

IEEE Transactions on Antennas and Propagation ◽

10.1109/tap.2020.2998171 ◽

2020 ◽

Vol 68 (11) ◽

pp. 7457-7470 ◽

Author(s):

Kuiwen Xu ◽

Liang Wu ◽

Xiuzhu Ye ◽

Xudong Chen

Keyword(s):

Deep Learning ◽

Inverse Scattering ◽

Scattering Problems ◽

Inversion Methods ◽

Inverse Scattering Problems

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Enhanced Deep Learning Approach Based on the Deep Convolutional Encoder–Decoder Architecture for Electromagnetic Inverse Scattering Problems

IEEE Antennas and Wireless Propagation Letters ◽

10.1109/lawp.2020.2995455 ◽

2020 ◽

Vol 19 (7) ◽

pp. 1211-1215

Author(s):

He Ming Yao ◽

Lijun Jiang ◽

Wei E. I. Sha

Keyword(s):

Deep Learning ◽

Inverse Scattering ◽

Learning Approach ◽

Scattering Problems ◽

Inverse Scattering Problems ◽

Decoder Architecture ◽

Convolutional Encoder ◽

Electromagnetic Inverse Scattering

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