elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Datenschutz | Barrierefreiheit | Kontakt | English
Schriftgröße: [-] Text [+]

The potential for improved SAR image coregistration using regularised speckle tracking

Merz, Jan Luca (2025) The potential for improved SAR image coregistration using regularised speckle tracking. Projektarbeit, Duale Hochschule Baden-Württemberg Mannheim.

[img] PDF - Nur DLR-intern zugänglich
75MB

Kurzfassung

Coregistration is the process of aligning multiple images with sub-pixel accuracy so that corresponding features in different acquisitions match spatially. This step is essential for a wide range of Synthetic Aperture Radar (SAR) applications, including interferometry, for digital elevation model generation, deformation monitoring of glaciers and change detection in environmental or disaster management. This report investigates whether the commonly used method of quantifying spatial distortions via cross-correlation can be improved by using a gradient-based optimisation technique. Developed at DLR's Microwaves and Radar Institute, the algorithm is supposed to be used for the coregistration process of SAR data. The algorithm improves upon the conventionally used speckle tracking algorithm by incorporating prior knowledge into the shift estimation process. The approach utilises the Python framework JAX for automatic differentiation for the optimisation technique. The proposed method was initially developed, tested, and refined in one dimension using simulated data. In the next step, it was validated on real SAR data acquired over the Aletsch glacier. The algorithm comprises several cost functions, an Image Pyramid and the ability to use multiple image pairs for the shift estimation. Results demonstrate that the proposed algorithm is capable of producing consistent results, has improved noise resistance, and is more flexible than its conventional counterpart. In particular, it achieved comparable or better correlation results while complying better with prior knowledge and offers greater adaptability to complex scenarios compared to speckle tracking.

elib-URL des Eintrags:https://elib.dlr.de/216532/
Dokumentart:Hochschulschrift (Projektarbeit)
Titel:The potential for improved SAR image coregistration using regularised speckle tracking
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Merz, Jan Lucajan.merz (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
DLR-Supervisor:
BeitragsartDLR-SupervisorInstitution oder E-Mail-AdresseDLR-Supervisor-ORCID-iD
Thesis advisorJäger, MarcMarc.Jaeger (at) dlr.dehttps://orcid.org/0000-0001-9685-2977
Thesis advisorScheiber, RolfRolf.Scheiber (at) dlr.dehttps://orcid.org/0000-0002-6833-4897
Datum:15 September 2025
Open Access:Nein
Seitenanzahl:86
Status:veröffentlicht
Stichwörter:Speckle Tracking, Python, SAR, JAX, Cross-correlation, Coregistration
Institution:Duale Hochschule Baden-Württemberg Mannheim
Abteilung:Informatik mit Ausrichtung Künstliche Intelligenz
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Flugzeug-SAR
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Hochfrequenztechnik und Radarsysteme > SAR-Technologie
Hinterlegt von: Merz, Jan Luca
Hinterlegt am:24 Sep 2025 18:03
Letzte Änderung:24 Sep 2025 18:03

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Blättern
Suchen
Hilfe & Kontakt
Informationen
OpenAIRE Validator logo electronic library verwendet EPrints 3.3.12
Gestaltung Webseite und Datenbank: Copyright © Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.