AI for Performance-Optimized Raw Data Quantization in Future SAR Systems

Gollin, Nicola and Martone, Michele and Ghiglione, Max and Krieger, Gerhard and Rizzoli, Paola (2025) AI for Performance-Optimized Raw Data Quantization in Future SAR Systems. Living Planet Symposium, 2025-07-23, Vienna, Austria. (Submitted)

Full text not available from this repository.

Item URL in elib:

https://elib.dlr.de/209279/

Document Type:

Conference or Workshop Item (Speech)

Title:

AI for Performance-Optimized Raw Data Quantization in Future SAR Systems

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Gollin, Nicola	UNSPECIFIED	https://orcid.org/0000-0003-0477-3273	UNSPECIFIED
Martone, Michele	UNSPECIFIED	https://orcid.org/0000-0002-4601-6599	UNSPECIFIED
Ghiglione, Max	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Krieger, Gerhard	UNSPECIFIED	https://orcid.org/0000-0002-4548-0285	UNSPECIFIED
Rizzoli, Paola	UNSPECIFIED	https://orcid.org/0000-0001-9118-2732	UNSPECIFIED

Date:

July 2025

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Submitted

Keywords:

SAR Raw Data Compression, Performance-Optimized bit allocation, Artificial Intelligence, Deep Learning

Event Title:

Living Planet Symposium

Event Location:

Vienna, Austria

Event Type:

international Conference

Event Date:

23 July 2025

Organizer:

ESA

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 - AI4SAR

Location:

Oberpfaffenhofen

Institutes and Institutions:

Microwaves and Radar Institute > Spaceborne SAR Systems

Deposited By:

Gollin, Nicola

Deposited On:

25 Nov 2024 14:39

Last Modified:

25 Nov 2024 14:39

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