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Document type:
Zeitschriftenaufsatz
Author(s):
Schmitt, Michael; Stilla, Uwe
Title:
Compressive sensing based layover separation in airborne single-pass multi-baseline InSAR data
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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