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

Michael Schmitt, Uwe Stilla

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

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 languageEnglish
Article number6247464
Pages (from-to)313-317
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Volume10
Issue number2
DOIs
StatePublished - 2013

Keywords

  • Compressive sensing (CS)
  • SAR interferometry
  • SAR tomography
  • layover
  • multi-baseline
  • synthetic aperture radar (SAR)
  • urban areas

Fingerprint

Dive into the research topics of 'Compressive sensing based layover separation in airborne single-pass multi-baseline InSAR data'. Together they form a unique fingerprint.

Cite this