AI for Optimized Raw Data Quantization in SAR Systems

Gollin, Nicola and Martone, Michele and Krieger, Gerhard and Rizzoli, Paola (2024) AI for Optimized Raw Data Quantization in SAR Systems. In: Proceedings International Radar Symposium. International Radar Symposium (IRS), 2024-07-02 - 2024-07-04, Breslau, Poland. ISSN 2155-5753.

PDF
1MB

Item URL in elib:

https://elib.dlr.de/204026/

Document Type:

Conference or Workshop Item (Speech)

Title:

AI for Optimized Raw Data Quantization in 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
Krieger, Gerhard	UNSPECIFIED	https://orcid.org/0000-0002-4548-0285	UNSPECIFIED
Rizzoli, Paola	UNSPECIFIED	https://orcid.org/0000-0001-9118-2732	UNSPECIFIED

Date:

July 2024

Journal or Publication Title:

Proceedings International Radar Symposium

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

Yes

In ISI Web of Science:

ISSN:

2155-5753

Status:

Published

Keywords:

SAR Raw Data Qantization, AI, Deep Learning, Onboard Processing, Bit allocaiton

Event Title:

International Radar Symposium (IRS)

Event Location:

Breslau, Poland

Event Type:

international Conference

Event Start Date:

2 July 2024

Event End Date:

4 July 2024

Organizer:

IEEE AESS

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:

15 May 2024 13:11

Last Modified:

09 Oct 2024 12:10

Repository Staff Only: item control page