Expertises
Earth and Planetary Sciences
- Synthetic Aperture Radar
- Tomography
- Image
- Datum
Computer Science
- Synthetic Aperture Radar Images
- Models
- Detection
Engineering
- Scatterer
Organisaties
Publicaties
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). IEEE (E-pub ahead of print/First online). 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). 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.2025.3602161Urban 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.70036A Deep Learning Solution for Phase Screen Estimation in SAR Tomography (2025)IEEE geoscience and remote sensing letters, 22. Article 4007605. Aghababaei, H., Ferraioli, G., Vitale, S. & Stein, A.https://doi.org/10.1109/LGRS.2025.3555441
2024
Visual Question Answering for Wishart H-Alpha Classification of Polarimetric SAR Images (2024)In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 11231-11234) (IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2024). IEEE. Aghababaei, H. & Stein, A.https://doi.org/10.1109/IGARSS53475.2024.10641895Despeckling SAR Images With Log-Yeo–Johnson Transformation and Conditional Diffusion Models (2024)IEEE transactions on geoscience and remote sensing, 62. Article 5215417. Ma, Y., Ke, P., Aghababaei, H., Chang, L. & Wei, J.https://doi.org/10.1109/TGRS.2024.3419083
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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