Publications

Dana El Hajjar, Arnaud Breloy, Guillaume Ginolhac, Mohammed Nabil El Korso, Yajing Yan (2025). Sliding IPL : An Efficient Approach for Estimating the Phases of Large SAR Image Time Series. EUSIPCO2025.

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Dana El Hajjar, Guillaume Ginolhac, Yajing Yan, Mohammed Nabil El Korso (2025). Nouvelle approche pour l’estimation séquentielle et robuste de phase à partir de séries d’images SAR multi-temporelles. GRETSI2025.

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Dana El Hajjar, Guillaume Ginolhac, Yajing Yan, Mohammed Nabil El Korso (2025). Sequential Covariance Fitting for InSAR Phase Linking. TGRS.

Lorenzo Lopez-Uroz, Yajing Yan, Alexandre Benoit, Fabien Albino, Sophie Giffard-Roisin, Virginie Pinel (2025). Glacier thickness estimation at a regional scale with deep learning. Rencontre Scientifique Volcanologique.

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Phan Viet Hoa Vu, Arnaud Breloy, Frédéric Brigui, Yajing Yan, Guillaume Ginolhac (2025). Covariance Fitting Interferometric Phase Linking : Modular Framework and Optimization Algorithms,. TGRS.

Dana El Hajjar, Guillaume Ginolhac, Yajing Yan, Mohammed Nabil El Korso (2024). Robust sequential phase estimation using Multi-temporal SAR image series. SPL.

Lorenzo Lopez-Uroz, Yajing Yan, Alexandre Benoit, Fabien Albino, Pierre Bouygues, Sophie Giffard-Roisin, Virginie Pinel (2024). Exploring Deep Learning for Volcanic Source Inversion. TGRS.

Dana El Hajjar, Yajing Yan, Guillaume Ginolhac, Mohammed Nabil El Korso (2024). Sequential Phase Linking: Progressive Integration of SAR Images for Operational Phase Estimation. MDIS2024.

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Lorenzo Lopez-Uroz, Yajing Yan, Alexandre Benoit, Fabien Albino, Pierre Bouygues, Sophie Giffard-Roisin, Virginie Pinel (2024). Potential of deep learning for volcanic source inversion. MDIS2024.

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Lorenzo Lopez-Uroz, Yajing Yan, Alexandre Benoit, Antoine Rabatel, Sophie Giffard-Roisin (2024). Glacier thickness estimation at a regional scale with deep learning. SAR et Cryosphère.

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Dana El Hajjar, Yajing Yan, Guillaume Ginolhac, Mohammed Nabil El Korso (2024). Sequential Phase Linking : Progressive Integration of SAR Images for Operational Phase Estimation. IGARSS2024.

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Dana El Hajjar, Yajing Yan, Guillaume Ginolhac, Mohammed Nabil El Korso (2024). Mexico city dataset. Zenoto.

Dana El Hajjar, Guillaume Ginolhac, Mohammed Nabil El Korso, Yajing Yan (2024). Sequential Phase Linking: Progressive Integration of SAR Images for Operational Phase Estimation. SLSIP2024.

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Lorenzo Lopez-Uroz, Yajing Yan, Alexandre Benoit, Antoine Rabatel, Sophie Giffard-Roisin, Christophe Lin-Kwong-Chon (2024). Using Deep Learning for Glacier Thickness Estimation at a Regional Scale. GRSL.

Phan Viet Hoa Vu, Arnaud Breloy, Frédéric Brigui, Yajing Yan, Guillaume Ginolhac (2023). Robust Phase Linking in InSAR. TGRS.

Phan Viet Hoa Vu, Arnaud Breloy, Frédérique Brigui, Yajing Yan, Guillaume Ginolhac (2023). Covariance fitting based InSAR Phase Linking. IGARSS2023.

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Lorenzo Lopez-Uroz, Yajing Yan, Alexandre Benoit, Antoine Rabatel, Amaury Dehecq, Sophie Giffard-Roisin (2023). Improving ice thickness estimation of glaciers using deep learning methods : a case study in the Swiss Alps. EGU2023.

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Lorenzo Lopez-Uroz, Alexandre Benoit, Yajing Yan, Christophe Lin-Kwong-Chon, Sophie Giffard-Roisin, Antoine Rabatel (2023). Deep learning multimodal methods for geophysical inversion: application to glacier ice thickness estimation. CBMI2023.

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Phan Viet Hoa Vu, Frédérique Brigui, Arnaud Breloy, Yajing Yan, Guillaume Ginolhac (2022). Nouvel Algorithme d’estimation de phases pour InSAR multi-temporelle basé sur le maximum de vraisemblanc. GRETSI2022.

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Phan Viet Hoa Vu, Frédérique Brigui, Arnaud Breloy, Yajing Yan, Guillaume Ginolhac (2022). A New Phase Linking Algorithm for Multi-temporal InSAR based on the Maximum Likelihood Estimator. IGARSS2022.

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