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SNR and noise variance estimation in polarimetric SAR data

Villano, Michelangelo (2014) SNR and noise variance estimation in polarimetric SAR data. IEEE Geoscience and Remote Sensing Letters, 11 (1), pp. 278-282. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/LGRS.2013.2255860 ISSN 1545-598X

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/arnumber=6527328

Abstract

Thermal noise affects polarimetric measurements, but a first order noise correction can be applied, if the noise variance (or power) is known. This paper deals with the estimation of the noise variance and the signal-to-noise ratio (SNR) of the cross-polarized channels in polarimetric synthetic aperture radar (SAR) data. Cramér-Rao Lower Bounds (CRLB) and maximum likelihood (ML) estimators are derived. The ML noise variance estimator is unbiased and efficient, while the ML SNR estimator is biased, but an unbiased SNR estimator can be derived from the biased one. It is also shown that commonly used noise variance and SNR estimators are biased. The results are finally validated using TerraSAR-X fully-polarimetric data.

Item URL in elib:https://elib.dlr.de/82070/
Document Type:Article
Title:SNR and noise variance estimation in polarimetric SAR data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Villano, MichelangeloUNSPECIFIEDUNSPECIFIED
Date:January 2014
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:11
DOI :10.1109/LGRS.2013.2255860
Page Range:pp. 278-282
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1545-598X
Status:Published
Keywords:Estimation, noise, polarimetry, signal-to-noise ratio, synthetic aperture radar.
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:18 Apr 2013 16:47
Last Modified:08 Mar 2018 18:30

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