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Analyse von Eigenschaften synthetischer Luftbildtrainingsdaten zur Objekterkennung mittels maschinellen Lernens

Maienschein, Theresa Diana (2021) Analyse von Eigenschaften synthetischer Luftbildtrainingsdaten zur Objekterkennung mittels maschinellen Lernens. DLR-Interner Bericht. DLR-IB-FT-BS-2021-256. Bachelor's. DHBW Ravensburg. 99 S.

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Item URL in elib:https://elib.dlr.de/202905/
Document Type:Monograph (DLR-Interner Bericht, Bachelor's)
Title:Analyse von Eigenschaften synthetischer Luftbildtrainingsdaten zur Objekterkennung mittels maschinellen Lernens
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Maienschein, Theresa DianaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:24 September 2021
Open Access:No
Number of Pages:99
Status:Published
Keywords:UAS, machine learning, computer vision, synthetic training data
Institution:DHBW Ravensburg
Department:Campus Friedrichshafen
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Components and Systems
DLR - Research area:Aeronautics
DLR - Program:L CS - Components and Systems
DLR - Research theme (Project):L - Unmanned Aerial Systems
Location: Braunschweig
Institutes and Institutions:Institute of Flight Systems > Unmanned Aircraft
Institute of Flight Systems
Deposited By: Schopferer, Simon
Deposited On:28 Feb 2024 09:24
Last Modified:28 Feb 2024 09:24

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