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On the Separation of Ground and Volume Scattering Using Multibaseline SAR Data

Joerg, Hannah and Pardini, Matteo and Hajnsek, Irena and Papathanassiou, Konstantinos (2017) On the Separation of Ground and Volume Scattering Using Multibaseline SAR Data. IEEE Geoscience and Remote Sensing Letters, 14 (9), pp. 1570-1574. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/LGRS.2017.2723980 ISSN 1545-598X

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Abstract

In forest and agricultural scattering scenarios, the backscattered synthetic aperture radar (SAR) signature consists, depending on the frequency, of the superposition of ground and volume scattering contributions. Using multibaseline SAR data, SAR tomography techniques allow resolving contributions occurring at different heights. Two algorithms for the separation of ground and volume scattering are compared with respect to their ability to provide a coherent volume component that can be further used for parameter inversion, both of them requiring only the a priori known ground topography. Once the volume-only coherences are available, the total ground and volume scattering powers are estimated by means of a least squares fitting. The objective of this letter is to quantitatively evaluate the performance of this estimation by means of a Monte Carlo analysis with simulated data focusing on the impact of vertical resolution, errors in the knowledge of the ground topography and phase calibration residuals.

Item URL in elib:https://elib.dlr.de/113845/
Document Type:Article
Title:On the Separation of Ground and Volume Scattering Using Multibaseline SAR Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Joerg, HannahUNSPECIFIEDhttps://orcid.org/0000-0003-4247-6640
Pardini, MatteoUNSPECIFIEDhttps://orcid.org/0000-0003-2018-7514
Hajnsek, IrenaUNSPECIFIEDUNSPECIFIED
Papathanassiou, KonstantinosUNSPECIFIEDUNSPECIFIED
Date:September 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.2017.2723980
Page Range:pp. 1570-1574
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1545-598X
Status:Published
Keywords:Layer separation, multibaseline (MB) synthetic aperture radar (SAR) interferometry, SAR tomography, vegetation
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 Multi-dimensionale SAR-Auswertung
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Joerg, Hannah
Deposited On:01 Sep 2017 10:51
Last Modified:30 Jul 2018 14:56

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