DocumentCode :
827406
Title :
Estimating the effective number of looks in interferometric SAR data
Author :
Gierull, Christoph H. ; Sikaneta, Ishuwa C.
Author_Institution :
Aerosp. Radar & Navigation Sect., Defence Res. & Dev. Canada, Ottawa, Ont., Canada
Volume :
40
Issue :
8
fYear :
2002
fDate :
8/1/2002 12:00:00 AM
Firstpage :
1733
Lastpage :
1742
Abstract :
The probability density function (pdf) of the multi-look interferometric phase between two complex synthetic aperture radar (SAR) images is parameterized by the number of looks and the complex correlation coefficient. In practice, adjacent pixels in a real SAR interferogram, are statistically dependent due to filtering, and hence, the number of looks is usually smaller than the number of samples averaged. It has been shown that compensation with an effective number of looks, rather than an intractable rederivation of the pdf, can account for the statistical dependence. This paper addresses the challenge of how to determine a suitable value for the effective number of looks. It is shown that an optimum value can be found via a maximum-likelihood estimator (MLE) based on the interferometric phase pdf. However, since such an MLE is computationally intensive and numerically unstable, an estimator based on the method of moments (MoM) possessing similar fidelity is proposed. MoM is fast and robust and can be used in operational applications, such as determining constant false alarm rate (CFAR) detection thresholds for moving-target detection in SAR along-track interferometry.
Keywords :
maximum likelihood estimation; method of moments; radar imaging; radiowave interferometry; remote sensing by radar; synthetic aperture radar; CFAR detection thresholds; MoM; adjacent pixels; compensation; complex correlation coefficient; constant false alarm rate detection thresholds; effective number of looks; filtering; interferometric SAR data; maximum-likelihood estimator; method of moments; moving-target detection; multilook interferometric phase; pdf; probability density function; statistical dependence; synthetic aperture radar images; Clutter; Interferometry; Layout; Maximum likelihood estimation; Pixel; Probability density function; Radar detection; Speckle; Statistics; Synthetic aperture radar;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2002.802457
Filename :
1036002
Link To Document :
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