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A Snow Properties-Aware Deep Learning Framework for Large-Scale Estimation of Penetration Bias in TanDEM-X DEMs

Becker Campos, Alexandre and Braun, Matthias and Rizzoli, Paola (2025) A Snow Properties-Aware Deep Learning Framework for Large-Scale Estimation of Penetration Bias in TanDEM-X DEMs. In: 2025 Kleinheubach Conference, KHB 2025. Kleinheubacher Tagung 2025, 2025-09-23 - 2025-09-25, Miltenberg, Germany. doi: 10.23919/IEEECONF67516.2025.11225294. ISBN 9783948571160.

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Item URL in elib:https://elib.dlr.de/218643/
Document Type:Conference or Workshop Item (Speech)
Title:A Snow Properties-Aware Deep Learning Framework for Large-Scale Estimation of Penetration Bias in TanDEM-X DEMs
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Becker Campos, AlexandreUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Braun, MatthiasFriedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, GermanyUNSPECIFIEDUNSPECIFIED
Rizzoli, PaolaUNSPECIFIEDhttps://orcid.org/0000-0001-9118-2732UNSPECIFIED
Date:September 2025
Journal or Publication Title:2025 Kleinheubach Conference, KHB 2025
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.23919/IEEECONF67516.2025.11225294
ISBN:9783948571160
Status:Published
Keywords:Deep learning, Greenland, Aletschgletscher, penetration bias, SAR, snow depth, TanDEM-X
Event Title:Kleinheubacher Tagung 2025
Event Location:Miltenberg, Germany
Event Type:international Conference
Event Start Date:23 September 2025
Event End Date:25 September 2025
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 > Spaceborne SAR Systems
Deposited By: Becker Campos, Alexandre
Deposited On:12 Nov 2025 11:35
Last Modified:15 Jan 2026 10:44

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