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On the Estimation of Ground and Volume Polarimetric Covariances in Forest Scenarios With SAR Tomography

Pardini, Matteo and Papathanassiou, Konstantinos (2017) On the Estimation of Ground and Volume Polarimetric Covariances in Forest Scenarios With SAR Tomography. IEEE Geoscience and Remote Sensing Letters, 14 (10), pp. 1860-1864. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/LGRS.2017.2738672. ISSN 1545-598X.

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Abstract

A two-layer model composed by ground and volume contributions has been proven suitable to describe the 3-D backscattering signatures of forest scenarios in a number of experiments. Under this hypothesis, the purpose of this letter is to investigate how synthetic aperture radar tomography (TomoSAR) can be used to estimate ground and volume polarimetric covariances and with which performance. An algorithm which is able to overcome the intrinsic ambiguity in the estimation problem is proposed, and it is shown to be a reliable alternative to the poorly performing full-rank Capon beamformer for estimating the ground polarimetric covariances. This performance improvement can be achieved, for instance, if an a priori knowledge of the ground topography (or an accurate estimate of it) is available. This analysis is carried out by processing an L-band TomoSAR stack acquired by the DLR’s E-SAR sensor over the temperate forest site of Traunstein.

Item URL in elib:https://elib.dlr.de/114825/
Document Type:Article
Title:On the Estimation of Ground and Volume Polarimetric Covariances in Forest Scenarios With SAR Tomography
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Pardini, MatteoMatteo.Pardini (at) dlr.dehttps://orcid.org/0000-0003-2018-7514
Papathanassiou, KonstantinosKostas.Papathanassiou (at) dlr.deUNSPECIFIED
Date:October 2017
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:14
DOI :10.1109/LGRS.2017.2738672
Page Range:pp. 1860-1864
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1545-598X
Status:Published
Keywords:Forest, ground topography, interferometry, polarimetry, synthetic aperture radar (SAR), tomography
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Tandem-L Vorstudien (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Pardini, Dr.-Ing. Matteo
Deposited On:23 Oct 2017 08:17
Last Modified:08 Mar 2018 18:31

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