Martin del Campo Becerra, Gustavo Daniel and Reigber, Andreas and Nannini, Matteo (2021) Enhanced-resolution SAR tomography using the weighted covariance fitting criterion. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR. European Conference on Synthetic Aperture Radar (EUSAR), 2021-03-29 - 2021-04-01, Leipzig, Germany. ISSN 2197-4403.
Full text not available from this repository.
Official URL: https://www.eusar.de/de
Abstract
The use of maximum likelihood (ML)-inspired statistical regularization approaches to solve the synthetic aperture radar (SAR) tomography (TomoSAR) nonlinear ill-conditioned inverse problem, has been successfully demonstrated in previous related studies. Within the main advantages of these approaches there is the retrieval of resolution-enhanced tomograms using a reduced number of passes, performing also suppression of artifacts and reduction of the ambiguity levels. Nonetheless, such techniques are constrained to the probability density function (pdf) Gaussian assumption of the observed data. Consequently, in order to ease this restriction and preserving the previously mentioned desired char-acteristics, in this paper, we relax such Gaussian assumption and apply the weighted covariance fitting (WCF) criterion instead. The feature enhancing capabilities of the proposed WCF-based technique are corroborated via processing L-band airborne TomoSAR data of the German Aerospace Center (DLR), acquired by the F-SAR system over the for-ested test site of Froschham, Germany (2017) and L-band airborne TomoSAR data of the Jet Propulsion Laboratory (JPL) from the National Aeronautics and Space Administration (NASA), in collaboration with DLR, acquired by the UAVSAR system over the urban area of München, Germany (2015).
Item URL in elib: | https://elib.dlr.de/133958/ | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
Title: | Enhanced-resolution SAR tomography using the weighted covariance fitting criterion | ||||||||||||||||
Authors: |
| ||||||||||||||||
Date: | April 2021 | ||||||||||||||||
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 | ||||||||||||||||
ISSN: | 2197-4403 | ||||||||||||||||
Status: | Published | ||||||||||||||||
Keywords: | Synthetic aperture radar (SAR) tomography (TomoSAR), Weighted covariance fitting (WCF) criterion | ||||||||||||||||
Event Title: | European Conference on Synthetic Aperture Radar (EUSAR) | ||||||||||||||||
Event Location: | Leipzig, Germany | ||||||||||||||||
Event Type: | international Conference | ||||||||||||||||
Event Dates: | 2021-03-29 - 2021-04-01 | ||||||||||||||||
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 - Aircraft SAR | ||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||
Institutes and Institutions: | Microwaves and Radar Institute > SAR Technology | ||||||||||||||||
Deposited By: | Martin del Campo Becerra, Gustavo | ||||||||||||||||
Deposited On: | 03 Feb 2020 07:47 | ||||||||||||||||
Last Modified: | 29 Mar 2023 00:45 |
Repository Staff Only: item control page