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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.
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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: |
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| 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 - Earth Observation | ||||||||
| DLR - Research theme (Project): | R - Vorhaben Tandem-L Vorstudien (old) | ||||||||
| 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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