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Towards a Symbiosis of Model-Based and Machine Learning Forest Height Estimation Based on TanDEM-X InSAR

Islam Mansour, Kostas Papathanassiou , Ronny Hänsch , Irena Hajnsek · EUSAR 2022; 14th European Conference on Synthetic Aperture Radar , 2022

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Abstract

This paper contributes to the generalization of forest height inversion by comparing the performance of two Machine Learning (ML) approaches for estimating forest height from single baseline single-polarimetric TanDEM-X (single-pass) interferometric coherence measurements against state-of-art physical-model estimates.

Citation

@inproceedings{mansour2022towards,
  title = {Towards a Symbiosis of Model-Based and Machine Learning Forest Height Estimation Based on TanDEM-X InSAR},
  author = {Mansour, Islam and Papathanassiou, Kostas and Hänsch, Ronny and Hajnsek, Irena},
  booktitle = {EUSAR 2022; 14th European Conference on Synthetic Aperture Radar},
  pages = {1--4},
  year = {2022}
}