Ansari, Homa und De Zan, Francesco und Parizzi, Alessandro (2021) Fading Signal: An Overlooked Error Source for Distributed Scatterer Interferometry. In: International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 3181-3184. IEEE - Institute of Electrical and Electronics Engineers. IGARSS 2021, 2021-07-11 - 2021-07-16, Brussels. doi: 10.1109/IGARSS47720.2021.9554910.
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Offizielle URL: https://ieeexplore.ieee.org/document/9554910
Kurzfassung
We reveal the presence of a peculiar physical signal which compromises the accuracy of Earth surface deformation estimates for distributed scatterers [1]. The observed signal is short-lived and decays with the temporal baseline; however, it is distinct from the stochastic noise attributed to temporal decorrelation. To indicate its nature, this physical effect is referred to as fading signal. Designing a simple approach in the evaluation of distributed scatterers, we reveal a prominent bias in the deformation velocity maps. The bias is the result of propagation of small phase error through the time series. We further discuss the role of the phase estimation algorithms in significant reduction of the bias and put forward the idea of a unified analysis-ready InSAR product for achieving high-precision deformation monitoring.
elib-URL des Eintrags: | https://elib.dlr.de/190722/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Fading Signal: An Overlooked Error Source for Distributed Scatterer Interferometry | ||||||||||||||||
Autoren: |
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Datum: | 2021 | ||||||||||||||||
Erschienen in: | International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
DOI: | 10.1109/IGARSS47720.2021.9554910 | ||||||||||||||||
Seitenbereich: | Seiten 3181-3184 | ||||||||||||||||
Verlag: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Big Data, Fading Signal, SAR Interferometry, Distributed Scatterers, Error Analysis, Time Series Analysis | ||||||||||||||||
Veranstaltungstitel: | IGARSS 2021 | ||||||||||||||||
Veranstaltungsort: | Brussels | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 11 Juli 2021 | ||||||||||||||||
Veranstaltungsende: | 16 Juli 2021 | ||||||||||||||||
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 - SAR-Methoden | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > SAR-Signalverarbeitung | ||||||||||||||||
Hinterlegt von: | Song, Qian | ||||||||||||||||
Hinterlegt am: | 29 Nov 2022 14:08 | ||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:51 |
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