Expertises
Earth and Planetary Sciences
- Synthetic Aperture Radar
- Tomography
- Image
- Datum
Computer Science
- Synthetic Aperture Radar Images
- Models
- Detection
Engineering
- Scatterer
Organisaties
Publicaties
2026
A unified deep learning Model for despeckling in multi-modal polarimetricSARdata (2026)[Contribution to conference › Paper] European Space Agency 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] European Space Agency 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.2025.3602161Erratum to “A deep learning solution for phase screen estimation in SAR tomography” (2025)IEEE geoscience and remote sensing letters, 22, 1-1. Aghababaei, H., Ferraioli, G., Vitale, S. & Stein, A.https://doi.org/10.1109/LGRS.2025.3580932Urban height change detection using a TomoSAR linear prediction-based method (2025)International journal of remote sensing, 46(13), 5006-5033. Armeshi, H., Sahebi, M. R. & Aghababaei, H.https://doi.org/10.1080/01431161.2025.2513560Deep learning segmentation approach for forest height retrieval with multichannel SAR (2025)[Contribution to conference › Abstract] Living Planet Symposium 2025. Yang, W., Vitale, S., Aghababaei, H., Ferraioli, G., Pascazzio, V. & Schirinzi, G.https://lps25.esa.int/programme/programme-session/?id=B3DC5187-04FB-4347-81CA-BB1D81A18F53&presentationId=B2AD938D-D595-4FDF-AB20-63293A080BF8Deep learning-based phase calibration of airborne SAR Tomography (2025)[Contribution to conference › Abstract] Living Planet Symposium 2025. Zamani, R., Aghababaei, H. & Ferraioli, G.https://lps25.esa.int/programme/programme-session/?id=B3DC5187-04FB-4347-81CA-BB1D81A18F53&presentationId=B2AD938D-D595-4FDF-AB20-63293A080BF8Dual Polarimetric Radar Vegetation Index for monitoring forest moisture stress using time series of Sentinel‐1 SAR data (2025)Plant Biology (E-pub ahead of print/First online). Ranjit, B., Bijker, W., Aghababaei, H. & Stein, A.https://doi.org/10.1111/plb.70036
Onderzoeksprofielen
Vakken collegejaar 2025/2026
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 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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