Hybrid AI-Physical Modeling for Penetration Bias Correction in X-Band InSAR DEMs: A Greenland Case Study

Cite

Text

Mansour et al. "Hybrid AI-Physical Modeling for Penetration Bias Correction in X-Band InSAR DEMs: A Greenland Case Study." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025.

Markdown

[Mansour et al. "Hybrid AI-Physical Modeling for Penetration Bias Correction in X-Band InSAR DEMs: A Greenland Case Study." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025.](https://mlanthology.org/cvprw/2025/mansour2025cvprw-hybrid/)

BibTeX

@inproceedings{mansour2025cvprw-hybrid,
  title     = {{Hybrid AI-Physical Modeling for Penetration Bias Correction in X-Band InSAR DEMs: A Greenland Case Study}},
  author    = {Mansour, Islam and Fischer, Georg and Hänsch, Ronny and Hajnsek, Irena},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2025},
  pages     = {2184-2193},
  url       = {https://mlanthology.org/cvprw/2025/mansour2025cvprw-hybrid/}
}