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

Author

Schmitt, Michael ; Stilla, Uwe

Author_Institution

Dept. of Photogrammetry & Remote Sensing, Tech. Univ. Muenchen, Munich, Germany

Volume

10

Issue

2

fYear

2013

fDate

Mar-13

Firstpage

313

Lastpage

317

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

geophysical techniques; radar interferometry; remote sensing by radar; synthetic aperture radar; airborne single-pass multibaseline InSAR data; compressive sensing based layover separation; compressive sensing based methods; single-pass data stacks; standard compressive sensing; Compressed sensing; Remote sensing; Signal to noise ratio; Standards; Synthetic aperture radar; Vectors; Compressive sensing (CS); SAR interferometry; SAR tomography; layover; multi-baseline; synthetic aperture radar (SAR); urban areas;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2012.2204230

Filename

6247464