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2020 – today
- 2024
[c3]Thomas Bultingaire, Inès Meraoumia, Christophe Kervazo, Loïc Denis, Florence Tupin:
Unsupervised Radiometric Change Detection from Synthetic Aperture Radar Images. EUSIPCO 2024: 2217-2221- 2023
- [b1]Inès Meraoumia:
Deep learning for remote sensing images and their interpretation. (Apprentissage profond pour l'interprétation des images satellitaires). Polytechnic Institute of Paris, Palaiseau, France, 2023 - [j1]Inès Meraoumia
, Emanuele Dalsasso, Loïc Denis, Rémy Abergel, Florence Tupin:
Multitemporal Speckle Reduction With Self-Supervised Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - 2022
- [c2]Inès Meraoumia, Emanuele Dalsasso, Loïc Denis, Florence Tupin:
Fast Strategies for Multi-Temporal Speckle Reduction of Sentinel-1 GRD Images. IGARSS 2022: 687-690 - [i3]Inès Meraoumia, Emanuele Dalsasso, Loïc Denis, Rémy Abergel, Florence Tupin:
Multi-temporal speckle reduction with self-supervised deep neural networks. CoRR abs/2207.11095 (2022) - [i2]Inès Meraoumia, Emanuele Dalsasso, Loïc Denis, Florence Tupin:
Fast strategies for multi-temporal speckle reduction of Sentinel-1 GRD images. CoRR abs/2207.11111 (2022) - 2021
- [c1]Emanuele Dalsasso, Inès Meraoumia, Loïc Denis, Florence Tupin:
Exploiting Multi-Temporal Information for Improved Speckle Reduction of Sentinel-1 SAR Images by Deep Learning. IGARSS 2021: 1081-1084 - [i1]Emanuele Dalsasso, Inès Meraoumia, Loïc Denis, Florence Tupin:
Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning. CoRR abs/2102.00682 (2021)
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