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Uncertainty Estimation of Convolutional Networks Segmenting Flooded Areas in SAR Imagery

Ludwig, Jakob (2023) Uncertainty Estimation of Convolutional Networks Segmenting Flooded Areas in SAR Imagery. Master's, TU Berlin.

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Item URL in elib:https://elib.dlr.de/194709/
Document Type:Thesis (Master's)
Title:Uncertainty Estimation of Convolutional Networks Segmenting Flooded Areas in SAR Imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Ludwig, JakobUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:December 2023
Refereed publication:No
Open Access:No
Status:Published
Keywords:Deep Learning, Machine Learning, Uncertainty, SAR, Flood Detection
Institution:TU Berlin
Department:Computer Vision and Remote Sensing
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:17 Apr 2023 16:22
Last Modified:24 Jan 2024 11:23

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