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/ | ||||||
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Document Type: | Thesis (Master's) | ||||||
Title: | Predictive Quantization for Staggered Synthetic Aperture Radar: Experiments with Real Airborne F-SAR Data | ||||||
Authors: |
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Date: | October 2021 | ||||||
Refereed publication: | Yes | ||||||
Open Access: | Yes | ||||||
Gold Open Access: | No | ||||||
In SCOPUS: | No | ||||||
In ISI Web of Science: | No | ||||||
Number of Pages: | 119 | ||||||
Status: | Published | ||||||
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: | 18 Feb 2022 17:41 |
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