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AI4TDX: How can AI leverage the exploitation of TanDEM-X data to jointly benefit science and shape future mission concepts?

Rizzoli, Paola and Carcereri, Daniel and Becker Campos, Alexandre and Gollin, Nicola and Dell'Amore, Luca and Ghio, Federico and Bueso Bello, Jose Luis and Gonzalez, Carolina and Martone, Michele and Zink, Manfred (2026) AI4TDX: How can AI leverage the exploitation of TanDEM-X data to jointly benefit science and shape future mission concepts? In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR. European Conference on Synthetic Aperture Radar (EUSAR), 2026-06-08 - 2026-06-11, Baden-Baden, Germany. ISSN 2197-4403.

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Abstract

Over the past 15 years, TanDEM-X has demonstrated its groundbreaking potential, setting a new standard in digital elevation model (DEM) products based on single-pass synthetic aperture radar interferometry (InSAR) and establishing itself as a milestone for Earth Observation (EO). Beyond its success in DEM generation, the mission has also proven to be of enormous value for scientific applications, enabling novel insights across a wide range of disciplines. When combined with artificial intelligence (AI), TanDEM-X offers even greater opportunities, both to support the scientific community through enhanced data analysis and interpretation, and to drive the development of future mission concepts. The synergy between AI and bistatic InSAR configurations holds immense potential, especially when leveraged in a physics-informed manner rather than considering AI as a mere black box. This paper presents a summary of ongoing activities at the Radar Science Group of the DLR Microwaves and Radar Institute that integrate AI with TanDEM-X, aiming to improve performance and extract valuable insights at all stages of the SAR processing chain, from raw data handling to high-level scientific applications. The results highlight how the intelligent fusion of AI and bistatic radar techniques can unlock new levels of efficiency, accuracy, and scientific understanding, paving the way for the design and optimization of future SAR mission concepts.

Item URL in elib:https://elib.dlr.de/223577/
Document Type:Conference or Workshop Item (Speech)
Title:AI4TDX: How can AI leverage the exploitation of TanDEM-X data to jointly benefit science and shape future mission concepts?
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Rizzoli, PaolaPaola.Rizzoli (at) dlr.dehttps://orcid.org/0000-0001-9118-2732UNSPECIFIED
Carcereri, DanielDaniel.Carcereri (at) dlr.dehttps://orcid.org/0000-0002-3956-1409UNSPECIFIED
Becker Campos, Alexandrealexandre.campos (at) dlr.deUNSPECIFIEDUNSPECIFIED
Gollin, NicolaNicola.Gollin (at) dlr.dehttps://orcid.org/0000-0003-0477-3273UNSPECIFIED
Dell'Amore, LucaLuca.Dellamore (at) dlr.dehttps://orcid.org/0000-0002-6731-1300UNSPECIFIED
Ghio, Federicofederico.ghio (at) dlr.dehttps://orcid.org/0009-0009-0442-0305UNSPECIFIED
Bueso Bello, Jose LuisJose-Luis.Bueso-Bello (at) dlr.dehttps://orcid.org/0000-0003-3464-2186UNSPECIFIED
Gonzalez, Carolinacarolina.gonzalez (at) dlr.dehttps://orcid.org/0000-0002-9340-1887UNSPECIFIED
Martone, MicheleMichele.Martone (at) dlr.dehttps://orcid.org/0000-0002-4601-6599UNSPECIFIED
Zink, Manfredmanfred.zink (at) dlr.dehttps://orcid.org/0000-0002-4308-5636UNSPECIFIED
Date:2026
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:Accepted
Keywords:AI4SAR, TanDEM-X, Deep Learning, AI
Event Title:European Conference on Synthetic Aperture Radar (EUSAR)
Event Location:Baden-Baden, Germany
Event Type:international Conference
Event Start Date:8 June 2026
Event End Date:11 June 2026
Organizer:VDE
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 - AI4SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Rizzoli, Paola
Deposited On:15 Apr 2026 12:41
Last Modified:15 Apr 2026 12:41

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