#bias correction

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

2025-06-11 I. Mansour, G. Fischer, R. Hänsch, I. Hajnsek 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Nashville, TN, USA, pp. 2175-2184

#SAR #InSAR #Greenland #Bias Correction #Machine Learning

A hybrid AI-physical method to correct penetration bias in X-band InSAR DEMs over the Greenland Ice Sheet, parameterising the vertical structure function via machine learning.

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Correction of The Penetration Bias for InSAR DEM Via Synergetic AI-Physical Modeling: A Greenland Case Study

2024-07-01 I. Mansour, G. Fischer, R. Hänsch, I. Hajnsek, K. Papathanassiou IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, pp. 138-142

#SAR #InSAR #Greenland #Bias Correction #TanDEM-X

Rapid changes in the Greenland Ice Sheet require precise elevation monitoring to understand ice dynamics and predict sea level rise. X-band Interferometric Synthetic Aperture Radar (InSAR) has the potential for this purpose but is limited by microwave signal...

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