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SNR and Noise Variance Estimation in Polarimetric SAR Data

Villano, Michelangelo and Papathanassiou, Konstantinos (2013) SNR and Noise Variance Estimation in Polarimetric SAR Data. ESA POLinSAR Workshop, 2013-01-28 - 2013-02-01, Frascati, Italy.

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Abstract

The problem of estimating the signal-to-noise ratio (SNR) of the cross-polarised channels and the noise variance in polarimetric synthetic aperture radar (SAR) data is dealt with. The Cramer-Rao Lower Bound (CRLB) is evaluated and a maximum likelihood (ML) estimator is derived, which jointly estimates the SNR of the cross-polarised channels and the noise variance. The performance of the joint estimator is assessed and a comparison with a coherence-based (CB) SNR estimator and an eigenvalue-based (EB) noise variance estimator is carried out. As far as the SNR estimation is concerned, both the ML and the CB estimator are biased, but the bias of the ML estimator is smaller than the bias of the CB estimator, while the accuracies are very similar. As far as the noise variance estimation is concerned, the ML estimator is unbiased and its variance is equal to the CRLB, while the EB estimator is biased. The difference in the biases is also shown using TerraSAR-X fully-polarimetric data, acquired during the Dual Receive Antenna (DRA) campaign.

Item URL in elib:https://elib.dlr.de/83036/
Document Type:Conference or Workshop Item (Speech)
Title:SNR and Noise Variance Estimation in Polarimetric SAR Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Villano, MichelangeloUNSPECIFIEDUNSPECIFIED
Papathanassiou, KonstantinosUNSPECIFIEDUNSPECIFIED
Date:1 February 2013
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Polarimetry, SNR, Noise Variance, Maximum Likelihood Estimation
Event Title:ESA POLinSAR Workshop
Event Location:Frascati, Italy
Event Type:international Conference, Workshop
Event Dates:2013-01-28 - 2013-02-01
Organizer:ESA
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 Tandem-L Vorstudien
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Villano, Dr.-Ing. Michelangelo
Deposited On:24 Jun 2013 11:56
Last Modified:31 Jul 2019 19:41

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