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Titel:

Compressive sensing based layover separation in airborne single-pass multi-baseline InSAR data

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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.
Stichworte:
Compressive sensing (CS), layover, multibaseline, SAR interferometry, SAR tomography, synthetic aperture radar (SAR), urban areas.
Zeitschriftentitel:
IEEE Geoscience and Remote Sensing Letters
Jahr:
2013
Band / Volume:
10
Heft / Issue:
2
Seitenangaben Beitrag:
313--317
Volltext / DOI:
doi:10.1109/LGRS.2012.2204230
WWW:
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6247464
Verlag / Institution:
IEEE
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