Shi, Yilei und Zhu, Xiao Xiang und Bamler, Richard und Yin, Wotao (2018) An efficient algorithm for compressive sensing based SAR tomography. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, Seiten 1-4. VDE Verlag. EUSAR 2018, 2018-06-04 - 2018-06-07, Aachen, Germany.
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Offizielle URL: https://www.vde-verlag.de/proceedings-de/454636051.html
Kurzfassung
Modern Tomographic SAR is an advanced InSAR techniques for urban mapping, which can not only retrieve 3D spatial information but also assess the 4D temporal information, such as deformation. To retrieve the information from InSAR data, several algorithms have been developed. Among them, SL1MMER algorithms is state of the art. However, it suffers from the computational expenses and it is hard to extend to large scale practice. In this work, we propose a novel optimization algorithms for L1 regularized least square in SL1MMER, which can keep the accuracy of the optimization result and dramatically speed up the processing.
elib-URL des Eintrags: | https://elib.dlr.de/121497/ | ||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
Titel: | An efficient algorithm for compressive sensing based SAR tomography | ||||||||||||||||||||
Autoren: |
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Datum: | 4 Juni 2018 | ||||||||||||||||||||
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 1-4 | ||||||||||||||||||||
Verlag: | VDE Verlag | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | Compressive Sensing, SAR tomography, TanDEM-X, SL1MMER, L1 regularization, randomized blockwise proximal gradient | ||||||||||||||||||||
Veranstaltungstitel: | EUSAR 2018 | ||||||||||||||||||||
Veranstaltungsort: | Aachen, Germany | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsbeginn: | 4 Juni 2018 | ||||||||||||||||||||
Veranstaltungsende: | 7 Juni 2018 | ||||||||||||||||||||
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 - Vorhaben hochauflösende Fernerkundungsverfahren (alt), R - SAR-Methoden | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science Institut für Methodik der Fernerkundung > Leitungsbereich MF | ||||||||||||||||||||
Hinterlegt von: | Wang, Yuanyuan | ||||||||||||||||||||
Hinterlegt am: | 29 Aug 2018 10:52 | ||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:25 |
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