A deep learning enhanced inverse scattering framework for microwave imaging of piece-wise homogeneous targets

DOI10.1088/1361-6420/ad2532OpenAlexW4391464677MaRDI QIDQ6149886

Unnamed Author, Lorenzo Crocco, Unnamed Author, Unnamed Author

Publication date: 5 March 2024

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/1361-6420/ad2532

zbMATH Keywords

inverse scatteringqualitative methodsdeep learningmicrowave imagingorthogonality sampling method

Mathematics Subject Classification ID

Miscellaneous topics in partial differential equations (35Rxx) Partial differential equations (35-XX) General topics in optics and electromagnetic theory (78Axx)

Cites Work

• A qualitative approach to inverse scattering theory
• Free space experimental scattering database continuation: experimental set-up and measurement precision
• A study on orthogonality sampling
• Modern regularization methods for inverse problems
• Inverse acoustic and electromagnetic scattering theory
• Unnamed Item

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