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Untersuchung verschiedener HDR-Techniken zur Anwendung auf SAR-Bilder

Beitler, Daniel (2018) Untersuchung verschiedener HDR-Techniken zur Anwendung auf SAR-Bilder. Other, Duale Hochschule Baden-Württemberg Mannheim.

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Abstract

This thesis investigates the effect of several algorithms for high dynamic to low dynamic range compression applied to SAR-images. In this case the dynamic range is the range of possible gray values or colors contained in an image. Therefore the first part will cover the current problem. Then techniques for both radar and optical image acquisition are explored. During this exploration technical and physical foundations for the different systems will be explained. Visual differences between the obtained results will also be dicussed. The next part presents several different algorithms for compressing HDR data. In the course of this presentation the implementation of a masking algorithm will also be discussed. Finally, optimal parameters for each of the previously described methods are evaluated and their results will be compared to eachother.

Item URL in elib:https://elib.dlr.de/125758/
Document Type:Thesis (Other)
Title:Untersuchung verschiedener HDR-Techniken zur Anwendung auf SAR-Bilder
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Beitler, DanielDaniel.Beitler (at) dlr.deUNSPECIFIED
Date:September 2018
Journal or Publication Title:Untersuchung verschiedener HDR-Techniken zur Anwendung auf SAR-Bilder
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:41
Status:Published
Keywords:HDR, LDR, SAR
Institution:Duale Hochschule Baden-Württemberg Mannheim
Department:Informationstechnik
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Flugzeug-SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Beitler, Daniel
Deposited On:09 Jan 2019 15:34
Last Modified:11 Jan 2019 14:59

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