Kang, Jian und Wang, Yuanyuan und Körner, Marco und Zhu, Xiao Xiang (2017) Robust object-based multi-baseline InSAR. In: FRINGE 2017, Seiten 1-9. FRINGE 2017, 2017-06-05 - 2017-06-09, Helsinki, Finland.
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Kurzfassung
Deformation monitoring by multi-baseline repeat-pass synthetic aperture radar (SAR) interferometry is so far the only imaging-based method to assess millimeter-level deformation over large areas from space. Past research mostly focused on the optimal deformation parameters retrieval on a pixel-basis. Only until recently, the first demonstration of object-based urban infrastructures monitoring by fusing SAR interferometry (InSAR) and the semantic classification labels derived from optical images was presented in [1]–[3]. This paper demonstrates a general framework for object-based InSAR parameters retrieval where the estimation of the parameters is achieved in an object-level instead of pixel-wisely. Furthermore, to handle outliers in real data, a robust phase recovery step in prior to the parameters inversion is also introduced. The proposed method outperforms the current pixel-wised estimators, e.g. periodogram, by a factor of as much as several dozens in the accuracy of the linear deformation estimates. [1] Y. Wang and X. X. Zhu, “Fusing Meter-Resolution 4-D InSAR Point Clouds and Optical Images for Semantic Urban Infrastructure Monitoring,” IEEE Trans. Geosci. Remote Sens., 2016. [2] Y. Wang and X. X. Zhu, “InSAR Forensics: Tracing InSAR Scatterers in High Resolution Optical Image,” presented at the Fringe 2015, 2015. [3] Y. Wang and X. X. Zhu, “Semantic Fusion of SAR Interferometry and Optical Image with Application to Urban Infrastructure Monitoring,” presented at the CMRT, France, La Grande Motte, France, 2015.
elib-URL des Eintrags: | https://elib.dlr.de/113970/ | ||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||
Titel: | Robust object-based multi-baseline InSAR | ||||||||||
Autoren: |
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Datum: | 2017 | ||||||||||
Erschienen in: | FRINGE 2017 | ||||||||||
Open Access: | Ja | ||||||||||
In SCOPUS: | Nein | ||||||||||
In ISI Web of Science: | Nein | ||||||||||
Seitenbereich: | Seiten 1-9 | ||||||||||
Stichwörter: | Object-based, deformation, InSAR, PSI, TomoSAR | ||||||||||
Veranstaltungstitel: | FRINGE 2017 | ||||||||||
Veranstaltungsort: | Helsinki, Finland | ||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||
Veranstaltungsbeginn: | 5 Juni 2017 | ||||||||||
Veranstaltungsende: | 9 Juni 2017 | ||||||||||
Veranstalter : | ESA | ||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||
Standort: | Oberpfaffenhofen | ||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > SAR-Signalverarbeitung |
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