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- Title:
Compressive sensing based layover separation in airborne single-pass multi-baseline InSAR data
- Document type:
- Zeitschriftenaufsatz
- Author(s):
- Schmitt, Michael; Stilla, Uwe
- Abstract:
- In this letter, compressive sensing based methods for layover separation in airborne single-pass multi-baseline InSAR data are investigated. The standard compressive sensing (CS) is compared with recently proposed distributed CS (DCS) and a new “multilooking‿ approach to CS (MCS). Experiments on simulated data show that, while CS is not satisfyingly applicable to single-pass data stacks with just few acquisitions, the neighborhood-based approaches, DCS and MCS, yield a promising perspective.
- Keywords:
- Compressive sensing (CS), layover, multibaseline, SAR interferometry, SAR tomography, synthetic aperture radar (SAR), urban areas.
- Journal title:
- IEEE Geoscience and Remote Sensing Letters
- Year:
- 2013
- Journal volume:
- 10
- Journal issue:
- 2
- Pages contribution:
- 313--317
- Fulltext / DOI:
- doi:10.1109/LGRS.2012.2204230
- WWW:
- http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6247464
- Publisher:
- IEEE
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