Baier, Gerald und Rossi, Cristian und Lachaise, Marie und Zhu, Xiao Xiang und Bamler, Richard (2018) A Nonlocal InSAR Filter for High-Resolution DEM Generation From TanDEM-X Interferograms. IEEE Transactions on Geoscience and Remote Sensing, 56 (11), Seiten 6469-6483. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2018.2839027. ISSN 0196-2892.
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Offizielle URL: https://ieeexplore.ieee.org/document/8409964
Kurzfassung
This paper presents a nonlocal interferometric synthetic aperture radar (InSAR) filter with the goal of generating digital elevation models (DEMs) of higher resolution and accuracy from bistatic TanDEM-X strip map interferograms than with the processing chain used in production. The currently employed boxcar multilooking filter naturally decreases the resolution and has inherent limitations on what level of noise reduction can be achieved. The proposed filter is specifically designed to account for the inherent diversity of natural terrain by setting several filtering parameters adaptively. In particular, it considers the local fringe frequency and scene heterogeneity, ensuring proper denoising of interferograms with considerable underlying topography as well as urban areas. A comparison using synthetic and TanDEM-X bistatic strip map data sets with existing InSAR filters shows the effectiveness of the proposed techniques, most of which could readily be integrated into existing nonlocal filters. The resulting DEMs outclass the ones produced with the existing global TanDEM-X DEM processing chain by effectively increasing the resolution from 12 to 6 m and lowering the noise level by roughly a factor of two.
elib-URL des Eintrags: | https://elib.dlr.de/122449/ | ||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||
Titel: | A Nonlocal InSAR Filter for High-Resolution DEM Generation From TanDEM-X Interferograms | ||||||||||||||||||||||||
Autoren: |
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Datum: | November 2018 | ||||||||||||||||||||||||
Erschienen in: | IEEE Transactions on Geoscience and Remote Sensing | ||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||
Band: | 56 | ||||||||||||||||||||||||
DOI: | 10.1109/TGRS.2018.2839027 | ||||||||||||||||||||||||
Seitenbereich: | Seiten 6469-6483 | ||||||||||||||||||||||||
Verlag: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||||||||||
ISSN: | 0196-2892 | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | Synthetic aperture radar, Noise reduction, Spatial resolution, Microsoft Windows, Remote sensing, Digital elevation models, Strips, Digital elevation model (DEM), interferometric synthetic aperture radar (InSAR), nonlocal filtering. | ||||||||||||||||||||||||
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 - Fernerkundung u. Geoforschung | ||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science Institut für Methodik der Fernerkundung > Leitungsbereich MF Institut für Methodik der Fernerkundung > SAR-Signalverarbeitung | ||||||||||||||||||||||||
Hinterlegt von: | Hoffmann, Eike Jens | ||||||||||||||||||||||||
Hinterlegt am: | 23 Okt 2018 14:46 | ||||||||||||||||||||||||
Letzte Änderung: | 02 Nov 2023 09:35 |
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