Deep-Learning-Based Approach in Imaging Radiometry by Aperture Synthesis: An Alias-Free Method

Deep-Learning-Based Approach in Imaging Radiometry by Aperture Synthesis: An Alias-Free Method

A new approach based on deep learning methods is presented for reconstructing <inline-formula><tex-math notation="LaTeX">$L$</tex-math></inline-formula>-band brightness temperature images from the inversion of interferometric data, namely, complex visibilities here...

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Bibliographic Details
Main Authors: Richard Faucheron, Eric Anterrieu, Louise Yu, Ali Khazaal, Nemesio J. Rodriguez-Fernandez
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Aperture synthesis
deep learning (DL)
imaging radiometry
inverse problem
Online Access:https://ieeexplore.ieee.org/document/10461331/

Internet

https://ieeexplore.ieee.org/document/10461331/

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