Pulella, Andrea und Prats, Pau und Sica, Francescopaolo (2024) A Supervised Multi-Task Learning Architecture for Separating the Phase Contributions in InSAR Burst Modes. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, Seiten 839-844. European Conference on Synthetic Aperture Radar (EUSAR), 2024-04-23 - 2024-04-26, Munich, Germany. ISSN 2197-4403.
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Kurzfassung
Multi-swath SAR systems are attractive solutions for monitoring the large-scale motions occurring over non-stationary areas. The main limitation of such interferometric systems is the variable sensitivity along the flight direction, which results in phase jumps between adjacent bursts in the interferograms. In this paper, we present a convolutional neural network that decouples the interferometric phase from the along-track phase contribution by simultaneously solving multiple tasks, (1) separating the phase due to displacements in the line-of-sight direction from that due to displacements in the along-track direction, and (2) predicting a proxy for the along-track displacement. The benefits of the proposed algorithm are verified using Sentinel-1 TOPS interferometric pairs over Greenland to track the inland glacier flow occurring within a time frame corresponding to the revisit time.
elib-URL des Eintrags: | https://elib.dlr.de/202517/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | A Supervised Multi-Task Learning Architecture for Separating the Phase Contributions in InSAR Burst Modes | ||||||||||||||||
Autoren: |
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Datum: | April 2024 | ||||||||||||||||
Erschienen in: | Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
Seitenbereich: | Seiten 839-844 | ||||||||||||||||
ISSN: | 2197-4403 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | SAR interferometry, TOPS, Sentinel-1, Glaciers, Deep Learning, Surface Displacement | ||||||||||||||||
Veranstaltungstitel: | European Conference on Synthetic Aperture Radar (EUSAR) | ||||||||||||||||
Veranstaltungsort: | Munich, Germany | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 23 April 2024 | ||||||||||||||||
Veranstaltungsende: | 26 April 2024 | ||||||||||||||||
Veranstalter : | VDE | ||||||||||||||||
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 | ||||||||||||||||
Hinterlegt von: | Pulella, M.Eng. Andrea | ||||||||||||||||
Hinterlegt am: | 16 Mai 2024 10:13 | ||||||||||||||||
Letzte Änderung: | 16 Mai 2024 10:13 |
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