Optimizing raw data quantization by exploiting AI-based on-board SAR processing

Niemann, Ella (2026) Optimizing raw data quantization by exploiting AI-based on-board SAR processing. Project thesis, Purdue University.

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Item URL in elib:

Document Type:

Thesis (Project thesis)

Title:

Optimizing raw data quantization by exploiting AI-based on-board SAR processing

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Niemann, Ella	ella.niemann (at) dlr.de	UNSPECIFIED	UNSPECIFIED

DLR Supervisors:

Contribution	DLR Supervisor	Institution or E-Mail	DLR Supervisor's ORCID iD
Thesis advisor	Martone, Michele	Michele.Martone (at) dlr.de	https://orcid.org/0000-0002-4601-6599
Thesis advisor	Gollin, Nicola	Nicola.Gollin (at) dlr.de	https://orcid.org/0000-0003-0477-3273

Date:

December 2026

Open Access:

Number of Pages:

Status:

Published

Keywords:

Synthetic Aperture Radar (SAR), On-Board Processing, Artificial Intelligence (AI), Raw Data Quantization.

Institution:

Purdue University

Department:

Aerospace Engineering

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:

Deposited By:

Martone, Michele

Deposited On:

08 May 2026 13:31

Last Modified:

31 Jul 2026 14:28

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