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

Mansour, Islam and Papathanassiou, Konstantinos P. and Haensch, Ronny and Hajnsek, Irena (2022) Towards a Symbiosis of Model-Based and Machine Learning Forest Height Estimation based on TanDEM-X InSAR. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR. European Conference on Synthetic Aperture Radar (EUSAR), 2022-07-25 - 2022-07-27, Leipzig, Germany. ISSN 2197-4403.

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Abstract

Recently, the German TanDEM-X mission provided valuable acquisitions for developing models for the single-pass single-pol X-band forest height inversion. In this paper, the assessment of the two machine learning approaches to estimate forest height from the interferometric coherence are investigated and compared to the state-of-art physical models over Gabon. The contribution of this work is toward the analysis of two approaches: Approach 1 is an implementation of a conventional ML approach. Approach 2 is the first attempt to integrate model-based knowledge in the ML approach and use a single input variable.

Item URL in elib:https://elib.dlr.de/186765/
Document Type:Conference or Workshop Item (Speech)
Title:Towards a Symbiosis of Model-Based and Machine Learning Forest Height Estimation based on TanDEM-X InSAR
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Mansour, IslamUNSPECIFIEDhttps://orcid.org/0000-0003-3114-6515UNSPECIFIED
Papathanassiou, Konstantinos P.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Haensch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Hajnsek, IrenaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:July 2022
Journal or Publication Title:Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
ISSN:2197-4403
Status:Published
Keywords:TanDEM-X; InSAR; Forest Height;Model-Based Modeling; Machine Learning;
Event Title:European Conference on Synthetic Aperture Radar (EUSAR)
Event Location:Leipzig, Germany
Event Type:international Conference
Event Dates:2022-07-25 - 2022-07-27
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Artificial Intelligence, R - Polarimetric SAR Interferometry HR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Mansour, Islam
Deposited On:13 Jun 2022 08:53
Last Modified:29 Mar 2023 00:51

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