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 simulated from observations of the...

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Detalhes bibliográficos

Principais autores:	Richard Faucheron, Eric Anterrieu, Louise Yu, Ali Khazaal, Nemesio J. Rodriguez-Fernandez
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2024-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Aperture synthesis deep learning (DL) imaging radiometry inverse problem
Acesso em linha:	https://ieeexplore.ieee.org/document/10461331/
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