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Evaluation of Post Hoc Uncertainty Quantification Approaches for Flood Detection From SAR Imagery

Ludwig, Jakob and Hänsch, Ronny (2025) Evaluation of Post Hoc Uncertainty Quantification Approaches for Flood Detection From SAR Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, pp. 15209-15221. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2025.3577690. ISSN 1939-1404.

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Item URL in elib:https://elib.dlr.de/219729/
Document Type:Article
Title:Evaluation of Post Hoc Uncertainty Quantification Approaches for Flood Detection From SAR Imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Ludwig, JakobUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Date:2025
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:18
DOI:10.1109/JSTARS.2025.3577690
Page Range:pp. 15209-15221
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Uncertainty;Predictive models;Training;Remote sensing;Radar polarimetry;Floods;Synthetic aperture radar;Data models;Data augmentation;Accuracy;Convolutional neural networks;floods;remote sensing (RS);semantic segmentation;synthetic aperture radar (SAR);uncertainty estimation
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
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Hänsch, Ronny
Deposited On:26 Nov 2025 10:18
Last Modified:26 Nov 2025 10:18

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