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Interpretable Deep Learning in Remote Sensing: Case-Based Object Recognition in SAR and Optical Imagery

Schlegel, Anastasia (2022) Interpretable Deep Learning in Remote Sensing: Case-Based Object Recognition in SAR and Optical Imagery. Master's, Technische Universität Berlin.

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Item URL in elib:https://elib.dlr.de/187823/
Document Type:Thesis (Master's)
Title:Interpretable Deep Learning in Remote Sensing: Case-Based Object Recognition in SAR and Optical Imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Schlegel, Anastasiaanastasia.schlegel (at) dlr.deUNSPECIFIED
Date:December 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Deep Learning, SAR
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 - Aircraft SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Schlegel, Anastasia
Deposited On:16 Aug 2022 07:14
Last Modified:06 Dec 2022 18:43

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