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Weakly-supervised Learning for Semantic Segmentation of PolSAR Images

Koreuber, Nora (2022) Weakly-supervised Learning for Semantic Segmentation of PolSAR Images. Master's, Technische Universität Berlin.

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Item URL in elib:https://elib.dlr.de/191768/
Document Type:Thesis (Master's)
Title:Weakly-supervised Learning for Semantic Segmentation of PolSAR Images
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Koreuber, NoraUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Weakly supervised learning, semantic segmentation
Institution:Technische Universität 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:06 Dec 2022 10:32
Last Modified:06 Dec 2022 18:48

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