Expertises
Earth and Planetary Sciences
- Synthetic Aperture Radar
- Tomography
- Image
- Datum
Computer Science
- Synthetic Aperture Radar Images
- Models
- Detection
Engineering
- Scatterer
Organisaties
Publicaties
2026
Chat with point: LLM-driven visual question answering for InSAR-based disaster management (2026)[Contribution to conference › Abstract] ESA 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] ESA 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] ESA 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] ESA 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/IGARSS55030.2025.11242958A joint real- and complex-valued network for classification of Pol(In)SAR images (2025)IEEE Journal of selected topics in applied earth observations and remote sensing, 18, 22256-22270. Ma, Y., Aghababaei, H., Chang, L., Deng, X. & Wei, J.https://doi.org/10.1109/JSTARS.2025.3602161
Onderzoeksprofielen
Vakken collegejaar 2026/2027
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Vakken collegejaar 2025/2026
Vakken collegejaar 2024/2025
Adres
Universiteit Twente
Langezijds (gebouwnr. 19), kamer 1326
Hallenweg 8
7522 NH Enschede
Universiteit Twente
Langezijds 1326
Postbus 217
7500 AE Enschede
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