Expertises

  • Earth and Planetary Sciences

    • Synthetic Aperture Radar
    • Tomography
    • Sentinel-1
  • Computer Science

    • Synthetic Aperture Radar Images
    • Deep Learning Method
    • Covariance Matrix
    • Experimental Result
  • Engineering

    • Scatterer

Organisaties

Publicaties

2026

DualCDM: Dual-domain conditional diffusion for SAR-to-optical translation with spatial–frequency correlation and adaptive feature recalibration (2026)Sensors (Switzerland), 26(13). Article 4183. Ma, Y., Aghababaei, H., Chang, L. & Wei, J.https://doi.org/10.3390/s26134183Chat with point: LLM-driven visual question answering for InSAR-based disaster management (2026)[Contribution to conference › Abstract] 13th International workshop on “Advances in the Science and Applications of SAR Interferometry”, Fringe 2026. Li, S., Aghababaei, H. & Belgiu, M.Exploiting polarization-agnostic deep Learning method for PolSAR despeckling on recent BIOMASS data (2026)[Contribution to conference › Abstract] 13th International workshop on “Advances in the Science and Applications of SAR Interferometry”, Fringe 2026. Passarello, G., Vitale, S., Aghababaei, H., Ferraioli, G. & Pascazzio, V.Forest height retrieval under zero baseline InSAR: A reduced-order coherence framework (2026)[Contribution to conference › Abstract] 13th International workshop on “Advances in the Science and Applications of SAR Interferometry”, Fringe 2026. Aghababaei, H., Ma, Y., Ferraioli, G., Tomppo, E. & Praks, J.Exploiting zero baseline interferometric coherence for biomass retrieval (2026)[Contribution to conference › Abstract] 13th International workshop on “Advances in the Science and Applications of SAR Interferometry”, Fringe 2026. Yang, W., Aghababaei, H., Tomppo, E., Vitale, S., Ferraioli, G. & Praks, J.Land cover classification of Sentinel-1 images at subpixel level using deep learning (2026)Remote sensing letters, 17(5), 607-620 (E-pub ahead of print/First online). Habiba, U., Aghababaei, H. & Belgiu, M.https://doi.org/10.1080/2150704X.2026.2661869A unified deep learning Model for despeckling in multi-modal polarimetric SAR data (2026)[Contribution to conference › Paper] 12th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, 6th Biomass Science Workshop and 1st Cal/Val Meeting, PolInSAR & Biomass 2026. Passarello, G., Vitale, S., Aghababaei, H., Ferraioli, G. & Pascazio, V.Global coverage of sentinel-1 InSAR and spaceborne LiDAR: A pathway to data-driven forest height modeling (2026)[Contribution to conference › Paper] 12th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, 6th Biomass Science Workshop and 1st Cal/Val Meeting, PolInSAR & Biomass 2026. Aghababaei, H., Ferraioli, G., Praks, J., Tomppo, E., Schirinzi, G. & Taillade, T.

2025

An open-access cross-modal forest benchmark training dataset with Sentinel-1 and Lidar data (2025)In 2025 IEEE International Geoscience and Remote Sensing Symposium: Proceedings (pp. 3588-3591) (Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2025). IEEE. Aghababaei, H., Ferraioli, G., Schirinzi, G., Tomppo, E. & Parks, J.https://doi.org/10.1109/IGARSS55030.2025.11243038TomoSAR from theory to practice: Overview of the advancements and challenges (2025)In 2025 IEEE International Geoscience and Remote Sensing Symposium: Proceedings (pp. 504-507) (Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2025). IEEE (E-pub ahead of print/First online). Aghababaei, H. & Ferraioli, G.https://doi.org/10.1109/IGARSS55030.2025.11242958

Onderzoeksprofielen

Vakken collegejaar 2026/2027

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Adres

Universiteit Twente

Langezijds (gebouwnr. 19), kamer 1326
Hallenweg 8
7522 NH Enschede

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