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Predictive Quantization for Staggered Synthetic Aperture Radar: Experiments with Real Airborne F-SAR Data

Giez, Jakob (2021) Predictive Quantization for Staggered Synthetic Aperture Radar: Experiments with Real Airborne F-SAR Data. Master's, Technische Universität München.

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Item URL in elib:https://elib.dlr.de/140408/
Document Type:Thesis (Master's)
Title:Predictive Quantization for Staggered Synthetic Aperture Radar: Experiments with Real Airborne F-SAR Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Giez, Jakobjakob.giez (at) dlr.deUNSPECIFIED
Date:2021
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Unpublished
Keywords:Synthetic Aperture Radar (SAR), data reduction, quantization, predictive, real data, fsar
Institution:Technische Universität München
Department:Elektrotechnik und Informationstechnik
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 - Vorhaben Tandem-L Vorstudien (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Gollin, Nicola
Deposited On:13 Jan 2021 21:54
Last Modified:13 Jan 2021 21:54

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