elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Forest Analysis Using SAR Tomography and Maximum Likelihood Inspired Spectral Estimation

Martin del Campo Becerra, Gustavo Daniel and Nannini, Matteo and Reigber, Andreas (2018) Forest Analysis Using SAR Tomography and Maximum Likelihood Inspired Spectral Estimation. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, pp. 1-5. VDE Verlag. European Conference on Synthetic Aperture Radar (EUSAR), 2018-06-04 - 2018-06-07, Aachen, Germany. ISBN 978-3-8007-4636-1

Full text not available from this repository.

Abstract

This paper treats the synthetic aperture radar (SAR) tomography (TomoSAR) non-linear inverse problem, within the framework of maximum likelihood (ML) estimation theory. In this context, a novel non-parametric spectral analysis (SA) technique, addressed in a closed fixed-point iterative fashion, is presented. The main goal of the proposed approach is to provide resolution-enhancement, with suppression of artifacts and ambiguity levels re-duction, to an initial estimate of the continuous power spectrum pattern (PSP), retrieved using the celebrated matched spatial filter (MSF) beamforming technique. The feature enhancing capabilities of the proposed method are corroborated via processing L-band airborne multi-baseline SAR 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/119379/
Document Type:Conference or Workshop Item (Speech)
Title:Forest Analysis Using SAR Tomography and Maximum Likelihood Inspired Spectral Estimation
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Martin del Campo Becerra, Gustavo DanielGustavo.MartindelCampoBecerra (at) dlr.dehttps://orcid.org/0000-0003-1642-6068
Nannini, Matteomatteo.nannini (at) dlr.deUNSPECIFIED
Reigber, AndreasAndreas.Reigber (at) dlr.dehttps://orcid.org/0000-0002-2118-5046
Date:6 June 2018
Journal or Publication Title:Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Page Range:pp. 1-5
Publisher:VDE Verlag
ISBN:978-3-8007-4636-1
Status:Published
Keywords:Synthetic aperture radar (SAR) tomography (TomoSAR), maximum likelihood (ML)
Event Title:European Conference on Synthetic Aperture Radar (EUSAR)
Event Location:Aachen, Germany
Event Type:international Conference
Event Dates:2018-06-04 - 2018-06-07
Organizer:VDE
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:26 Mar 2018 11:31
Last Modified:05 Nov 2018 15:09

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.