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Zhu, Xiao Xiang and Bamler, Richard (2014) Superresolving SAR tomography for multidimensional imaging of urban areas: Compressive sensing-based TomoSAR inversion. IEEE Signal Processing Magazine, 31 (4), pp. 51-58. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/MSP.2014.2312098. ISSN 1053-5888.
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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6832819
Abstract
With reference to the current status of VHR spaceborne tomographic SAR inversion presented in this article, the following conclusions can be drawn: VHR tomographic SAR inversion is able to reconstruct the shape and motion of individual buildings and entire city areas. SR is crucial and possible, e.g., using CS, for VHR tomographic SAR inversion for urban infrastructure. The motion or deformation of buildings is often nonlinear (periodic, accelerating, stepwise, etc.). Multicomponent nonlinear motion of multiple scatterers can be separated. The 4-D point clouds retrieved by VHR TomoSAR has a point density comparable to LiDAR and can be potentially used for dynamic city model reconstruction.
| Item URL in elib: | https://elib.dlr.de/86146/ | ||||||||||||
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| Document Type: | Article | ||||||||||||
| Title: | Superresolving SAR tomography for multidimensional imaging of urban areas: Compressive sensing-based TomoSAR inversion | ||||||||||||
| Authors: |
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| Date: | 13 June 2014 | ||||||||||||
| Journal or Publication Title: | IEEE Signal Processing Magazine | ||||||||||||
| Refereed publication: | Yes | ||||||||||||
| Open Access: | Yes | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | Yes | ||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||
| Volume: | 31 | ||||||||||||
| DOI: | 10.1109/MSP.2014.2312098 | ||||||||||||
| Page Range: | pp. 51-58 | ||||||||||||
| Publisher: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||
| ISSN: | 1053-5888 | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | Super-resolving, SAR Tomography, Urban, SL1MMER | ||||||||||||
| 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) | ||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > SAR Signal Processing Remote Sensing Technology Institute > Leitungsbereich MF | ||||||||||||
| Deposited By: | Ge, Nan | ||||||||||||
| Deposited On: | 06 Dec 2013 15:02 | ||||||||||||
| Last Modified: | 29 Nov 2023 12:15 |
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- Superresolving SAR tomography for multidimensional imaging of urban areas: Compressive sensing-based TomoSAR inversion. (deposited 06 Dec 2013 15:02) [Currently Displayed]
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