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Autor(en):
Zhu, Xiao Xiang; Bamler, R.
Titel:
Compressive {Sensing} for {High} {Resolution} {Differential} {SAR} {Tomography} - the {SL}1MMER {Algorithm}
Abstract:
Differential SAR tomography extends the synthetic aperture principle into the elevation and time directions for 4-D imaging. With modern meter-resolution space-borne SAR systems like TerraSAR-X (TS-X), systematic tomographic imaging of urban infrastructure and its deformations becomes feasible. We demonstrate the potential of TS-X data for this purpose and introduce several novel concepts. Since building deformation in general is nonlinear, e.g. due to thermal dilation, we start from a tomograph...     »
Stichworte:
Synthetic aperture radar, nonlinear motion, synthetic aperture principle, Image reconstruction, SL1MMER algorithm, differential SAR tomography, super-resolution, Minimization, radar imaging, compressed sensing, tomography, urban infrastructure, Estimation, Robustness, TerraSAR-X, SL1MMER, image resolution, meter-resolution space-borne SAR system, 2D compressive sensing, 4D imaging, differential tomographic inversion, nonparametric method, parametric method, systematic tomographic imaging, tomogr...     »
Kongress- / Buchtitel:
Geoscience and {Remote} {Sensing} {Symposium} ({IGARSS}), 2010 {IEEE} {International}
Kongress / Zusatzinformationen:
00005
Jahr:
2010
Monat:
jul
Seiten:
17--20
Volltext / DOI:
doi:10.1109/IGARSS.2010.5654021
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