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Exploiting Artificial Intelligence for Performance-Optimized Raw Data Quantization in InSAR Systems

Martone, Michele and Gollin, Nicola and Rizzoli, Paola and Krieger, Gerhard (2023) Exploiting Artificial Intelligence for Performance-Optimized Raw Data Quantization in InSAR Systems. In: FRINGE Online Abstracts. ESA FRINGE Workshop, 2023-09-11 - 2013-09-15, Leeds, UK.

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Item URL in elib:https://elib.dlr.de/196380/
Document Type:Conference or Workshop Item (Speech)
Title:Exploiting Artificial Intelligence for Performance-Optimized Raw Data Quantization in InSAR Systems
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Martone, MicheleUNSPECIFIEDhttps://orcid.org/0000-0002-4601-6599UNSPECIFIED
Gollin, NicolaUNSPECIFIEDhttps://orcid.org/0000-0003-0477-3273UNSPECIFIED
Rizzoli, PaolaUNSPECIFIEDhttps://orcid.org/0000-0001-9118-2732UNSPECIFIED
Krieger, GerhardUNSPECIFIEDhttps://orcid.org/0000-0002-4548-0285UNSPECIFIED
Date:2023
Journal or Publication Title:FRINGE Online Abstracts
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Synthetic Aperture Radar, Quantization, Machine Learning
Event Title:ESA FRINGE Workshop
Event Location:Leeds, UK
Event Type:international Conference
Event Start Date:11 September 2023
Event End Date:15 September 2013
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 - TerraSAR/TanDEM
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Microwaves and Radar Institute > Radar Concepts
Deposited By: Martone, Michele
Deposited On:02 Aug 2023 13:58
Last Modified:24 Apr 2024 20:56

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