A5004458384- Soil Moisture and Remote Sensing
- Cryospheric studies and observations
- Calibration and Measurement Techniques
- Spacecraft and Cryogenic Technologies
- Geophysical Methods and Applications
- Precipitation Measurement and Analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
Institut de Recherche pour le Développement
2025
Centre National de la Recherche Scientifique
2025
Centre d'Études Spatiales de la Biosphère
2022-2025
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2024
Centre National d'Études Spatiales
2024
A new approach based on deep-learning methods is presented for reconstructing L-band brightness temperature images from the inversion of interferometric data, namely complex visibilities here simulated observations Soil Moisture and Ocean Salinity (SMOS) radiometer.A specific Deep Neural Network (DNN) architecture composed a fully connected followed by contracting expansive path proposed to learn relationship between maps.The performances DNN are compared those algebraic inversions Fourier...
In the framework of imaging by aperture synthesis, an alternative approach to algebraic inversions complex visibilities is discussed. This based on Deep Learning (DL) techniques. A database was computed using realistic L-band brightness temperature (BT) maps from SMOS interferometer and computing visibilities. The DL manages learn BT relationship. DL-reconstructed images show a lower error with respect original than those method. addition, DL-BTs do not any alias contamination, providing...