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Feature Enhanced SAR Tomography Reconstruction Through Adaptive Nonparametric Array Processing

Martin del Campo Becerra, Gustavo and Reigber, Andreas and Nannini, Matteo (2018) Feature Enhanced SAR Tomography Reconstruction Through Adaptive Nonparametric Array Processing. In: International Geoscience and Remote Sensing Symposium (IGARSS). International Geoscience and Remote Sensing Symposium (IGARSS), 2018-07-22 - 2018-07-27, Valencia, Spain.

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Abstract

Synthetic aperture radar (SAR) tomography (TomoSAR) employs array signal processing techniques, in order to estimate the location of the vertical structures that compose the backscattering field, in the direction perpendicular to the line-of-sight (PLOS). Due to the limited number of tracks for practical TomoSAR sensing scenarios, it becomes challenging to accurately estimate the source parameters. Additionally, irregular sampling and non-uniform acquisition constellations introduce artifacts and increase ambiguity. The usage of super-resolved parametric methods and compressed sensing (CS) based approaches, improve the vertical resolution and mitigate the effect of sidelobes. However, parametric approaches have the main drawback related to the assumption that the scene is composed by a known finite number of point-type backscattering sources. Also, the CS-based techniques regularly imply a considerable computational burden. Overcoming the disadvantages of the above mentioned TomoSAR-adapted methods, this paper presents a novel non-parametric iterative approach for feature enhanced SAR tomography, in the context of maximum likelihood (ML) estimation theory. The feature enhancing capabilities of the proposed technique are corroborated via processing L-band airborne TomoSAR data of the German Aerospace Center (DLR), acquired by the F-SAR system over the forested test site of Froschham, Germany, in 2017.

Item URL in elib:https://elib.dlr.de/119667/
Document Type:Conference or Workshop Item (Lecture)
Title:Feature Enhanced SAR Tomography Reconstruction Through Adaptive Nonparametric Array Processing
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:July 2018
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Status:Published
Keywords:Maximum likelihood (ML), power spectrum pattern (PSP), spectral analysis (SA), synthetic aperture radar (SAR) tomography (TomoSAR).
Event Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Valencia, Spain
Event Type:international Conference
Event Dates:2018-07-22 - 2018-07-27
Organizer:IEEE Geoscience and Remote Sensing Society (GRSS)
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:16 Apr 2018 08:47
Last Modified:01 Dec 2018 19:53

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