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Shi, Yilei and Zhu, Xiao Xiang and Bamler, Richard and Yin, Wotao (2018) An efficient algorithm for compressive sensing based SAR tomography. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, pp. 1-4. VDE Verlag. EUSAR 2018, 2018-06-04 - 2018-06-07, Aachen, Germany.
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Official URL: https://www.vde-verlag.de/proceedings-de/454636051.html
Abstract
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.
| Item URL in elib: | https://elib.dlr.de/121497/ | ||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||
| Title: | An efficient algorithm for compressive sensing based SAR tomography | ||||||||||||||||||||
| Authors: |
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| Date: | 4 June 2018 | ||||||||||||||||||||
| Journal or Publication Title: | Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR | ||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||||||
| Page Range: | pp. 1-4 | ||||||||||||||||||||
| Publisher: | VDE Verlag | ||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||
| Keywords: | Compressive Sensing, SAR tomography, TanDEM-X, SL1MMER, L1 regularization, randomized blockwise proximal gradient | ||||||||||||||||||||
| Event Title: | EUSAR 2018 | ||||||||||||||||||||
| Event Location: | Aachen, Germany | ||||||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||||||
| Event Start Date: | 4 June 2018 | ||||||||||||||||||||
| Event End Date: | 7 June 2018 | ||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||||||
| HGF - Program Themes: | Earth Observation | ||||||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||
| DLR - Research theme (Project): | R - Vorhaben hochauflösende Fernerkundungsverfahren (old), R - SAR methods | ||||||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science Remote Sensing Technology Institute > Leitungsbereich MF | ||||||||||||||||||||
| Deposited By: | Wang, Yuanyuan | ||||||||||||||||||||
| Deposited On: | 29 Aug 2018 10:52 | ||||||||||||||||||||
| Last Modified: | 24 Apr 2024 20:25 |
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