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Assessment of Tomographic SAR Processing Techniques for Forest Structure Estimation

Cazcarra-Bes, Victor and Tello Alonso, Marivi and Pardini, Matteo and Papathanassiou, Konstantinos (2018) Assessment of Tomographic SAR Processing Techniques for Forest Structure Estimation. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR. European Conference on Synthetic Aperture Radar (EUSAR), 2018-06-05 - 2018-06-07, Aachen, Germany.

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Abstract

The future SAR missions such as BIOMASS and Tandem-L will exploit the potential of Synthetic Aperture Radar Tomography to extract 3D forest structure information. Several algorithms can be applied for TomoSAR imaging. This paper analyses the performance of two non-parametric algorithms, Capon Beamforming and Compressive Sensing (CS), for forest structure applications, through a set of simulations reflecting different forest scenarios (distribution of canopy layers and temporal decorrealtion) and system parameters (baseline distribution, multilook, and noise). Results show that CS is in general more stable than Capon in front of system and scene variability, but may be more affected by artefacts.

Item URL in elib:https://elib.dlr.de/115269/
Document Type:Conference or Workshop Item (Speech)
Title:Assessment of Tomographic SAR Processing Techniques for Forest Structure Estimation
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cazcarra-Bes, Victordlrhttps://orcid.org/0000-0002-6776-4553
Tello Alonso, MarividlrUNSPECIFIED
Pardini, MatteodlrUNSPECIFIED
Papathanassiou, KonstantinosdlrUNSPECIFIED
Date:June 2018
Journal or Publication Title:Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Status:Published
Keywords:SAR, Tomography, Forest Structure, Compressive Sensing, Capon
Event Title:European Conference on Synthetic Aperture Radar (EUSAR)
Event Location:Aachen, Germany
Event Type:international Conference
Event Dates:2018-06-05 - 2018-06-07
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 > Radar Concepts
Deposited By: Cazcarra-Bes, Victor
Deposited On:27 Jun 2018 08:22
Last Modified:23 Feb 2019 00:22

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