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Compressive Sensing Based Layover Separation in Airborne Single-Pass Multi-Baseline InSAR Data

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2 Author(s)
Michael Schmitt ; Department of Photogrammetry and Remote Sensing, Technische Universitaet Muenchen, Munich, Germany ; Uwe Stilla

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.

Published in:

IEEE Geoscience and Remote Sensing Letters  (Volume:10 ,  Issue: 2 )