Tell a friend
Print
Giez, Jakob (2021) Predictive Quantization for Staggered Synthetic Aperture Radar: Experiments with Real Airborne F-SAR Data. Master's, Technische Universität München.
![[img]](https://elib.dlr.de/style/images/fileicons/application_pdf.png) |
PDF
11MB |
| 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: |
| ||||||||
| 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 |
Repository Staff Only: item control page
