dr.ing. H. Aghababaei (Hossein)

Earth & Environmental Sciences

# Scattering
# Synthetic Aperture Radar
# Tomography

Engineering & Materials Science

# Covariance Matrix
# Scattering
# Synthetic Aperture Radar
# Tomography

Physics & Astronomy

# Synthetic Aperture Radar

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)

Armeshi, H., Sahebi, M. R. , & Aghababaei, H. (2024). A deterministic descriptive regularization-based method for SAR tomography in urban areas. International journal of remote sensing, 45(6), 1884-1903. https://doi.org/10.1080/01431161.2024.2321466

Hosseiny, B., Amini, J. , & Aghababaei, H. (2024). Spectral estimation model for linear displacement and vibration monitoring with GBSAR system. Mechanical systems and signal processing, 208, Article 110916. https://doi.org/10.1016/j.ymssp.2023.110916

Hosseini, B., Amini, J. , Aghababaei, H., & Ferraioli, G. (2023). Enabling high-resolution micro-vibration detection using ground-based synthetic aperture radar: A case study for pipeline monitoring. Remote sensing, 15(16), 1-18. Article 3981. https://doi.org/10.3390/rs15163981

Aghababaei, H., Ferraioli, G. , Stein, A., & Vitale, S. (2023). Deep learning based polarimetric data augmentation: Dual2Full-pol extension. IEEE transactions on geoscience and remote sensing, 61. https://doi.org/10.1109/TGRS.2023.3299419

Yang, W., Vitale, S. , Aghababaei, H., Ferraioli, G., Pascazio, V., & Schirinzi, G. (2023). A deep learning solution for height estimation on a forested area based on Pol-TomoSAR data. IEEE transactions on geoscience and remote sensing, 61, Article 5208214. https://doi.org/10.1109/TGRS.2023.3274395

Aghababaei, H. , & Stein, A. (2023). Speckle Reduction in SAR Images. In Spaceborne Synthetic Aperture Radar Remote Sensing: Techniques and Applications (pp. 13-44). CRC Press (Taylor & Francis). https://doi.org/10.1201/9781003204466-2

Poorazimy, M., Shataee, S. , Aghababaei, H., Tomppo, E., & Praks, J. (2023). First Demonstration of Space-Borne Polarization Coherence Tomography for Characterizing Hyrcanian Forest Structural Diversity. Remote sensing, 15(3), Article 555. https://doi.org/10.3390/rs15030555

Hosseiny, B., Amini, J. , & Aghababaei, H. (2023). Structural displacement monitoring using ground-based synthetic aperture radar. International Journal of Applied Earth Observation and Geoinformation (JAG), 116, Article 103144. https://doi.org/10.1016/j.jag.2022.103144

Ranjit, B. , Aghababaei, H. , Bijker, W. , & Stein, A. (2022). TomoSAR derived features for estimation of Forest Structure and Fuel load. In EUSAR 2022 - 14th European Conference on Synthetic Aperture Radar (pp. 121-125). (Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR; Vol. 2022-July). IEEE. https://ieeexplore.ieee.org/document/9944227

Shafai, S., Kumar, S. , Aghababaei, H., & Kulshrestha, A. (2022). Evaluating the effect of POA compensation on polinsar coherence for L-and-S band airborne SAR data. In 2021 IEEE International India Geoscience and Remote Sensing Symposium (InGARSS) (pp. 356-359). IEEE. https://doi.org/10.1109/ingarss51564.2021.9792001

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