Villano, Michelangelo and Papathanassiou, Konstantinos (2013) SNR and Noise Variance Estimation in Polarimetric SAR Data. POLINSAR 2013, 2013-01-28 - 2013-02-01, Frascati, Italy .
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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.
|Document Type:||Conference or Workshop Item (Speech, Paper)|
|Title:||SNR and Noise Variance Estimation in Polarimetric SAR Data|
|Date:||1 February 2013|
|Keywords:||Polarimetry, SNR, Noise Variance, Maximum Likelihood Estimation|
|Event Title:||POLINSAR 2013|
|Event Location:||Frascati, Italy|
|Event Dates:||2013-01-28 - 2013-02-01|
|HGF - Research field:||Aeronautics, Space and Transport (old)|
|HGF - Program:||Space (old)|
|HGF - Program Themes:||W - no assignement|
|DLR - Research area:||Space|
|DLR - Program:||W - no assignement|
|DLR - Research theme (Project):||W -- no assignement (old)|
|Institutes and Institutions:||Microwaves and Radar Institute > Radar Concepts|
|Deposited By:||Michelangelo Villano|
|Deposited On:||26 Nov 2012 09:57|
|Last Modified:||24 Jun 2013 11:56|
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