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.
Original language | English |
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Article number | 6247464 |
Pages (from-to) | 313-317 |
Number of pages | 5 |
Journal | IEEE Geoscience and Remote Sensing Letters |
Volume | 10 |
Issue number | 2 |
DOIs | |
State | Published - 2013 |
Keywords
- Compressive sensing (CS)
- SAR interferometry
- SAR tomography
- layover
- multi-baseline
- synthetic aperture radar (SAR)
- urban areas