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A Virtual Adaptive Beamforming Approach for Feature Enhanced SAR Tomography

Martin del Campo Becerra, Gustavo and Reigber, Andreas and Nannini, Matteo (2019) A Virtual Adaptive Beamforming Approach for Feature Enhanced SAR Tomography. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019-07-28 - 2019-08-02, Yokohama, Japan.

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Abstract

Synthetic aperture radar (SAR) tomography (TomoSAR) is a remote sensing technique that allows for the 3-D representation of the illuminated areas, recovering the vertical distribution of the backscattered power at each range-azimuth position. In this context, and with the aim of retrieving feature-enhanced tomograms, this paper addresses a new multi-stage iterative method that operates robustly in real-world TomoSAR operating scenarios with irregularly distributed acquisition constellations and only few available looks. The addressed approach alleviates the drawbacks of the conventional matched spatial filter (MSF) technique, which retrieves high ambiguity levels when irregular sampling is considered. Also, it alleviates the drawbacks of the commonly used Capon beamforming technique, which results to be inapplicable when the involved data covariance (structure) matrices are rank deficient. The addressed novel method combines the descriptive experiment design regularization (DEDR) framework for enhanced image reconstruction, with the wavelet domain thresholding (WDT)-based sparsity promoting refinement in the wavelet transform (WT) domain. The capabilities of the addressed WDT-refined virtual adaptive beamforming (VAB) approach, which we refer to as WAVAB, are corroborated via processing P-band airborne TomoSAR data of the German Aerospace Center (DLR), acquired by the E-SAR system over the test site located at the Vindeln municipality, northern Sweden, in 2008.

Item URL in elib:https://elib.dlr.de/127466/
Document Type:Conference or Workshop Item (Speech)
Title:A Virtual Adaptive Beamforming Approach for Feature Enhanced SAR Tomography
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Martin del Campo Becerra, GustavoGustavo.MartindelCampoBecerra (at) dlr.deUNSPECIFIED
Reigber, AndreasAndreas.Reigber (at) dlr.dehttps://orcid.org/0000-0002-2118-5046
Nannini, MatteoMatteo.Nannini (at) dlr.deUNSPECIFIED
Date:August 2019
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Sum of Kronecker products (SKP); synthetic aperture radar (SAR) tomography (TomoSAR); regularization; wavelet domain thresholding (WDT).
Event Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Yokohama, Japan
Event Type:international Conference
Event Dates:2019-07-28 - 2019-08-02
Organizer:IEEE Geoscience and Remote Sensing Society
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Flugzeug-SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Martin del Campo Becerra, Gustavo
Deposited On:17 May 2019 12:10
Last Modified:12 Nov 2019 15:58

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