DocumentCode :
745172
Title :
Statistical properties of logarithmically transformed speckle
Author :
Xie, Hua ; Pierce, Leland E. ; Ulaby, Fawwaz T.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Volume :
40
Issue :
3
fYear :
2002
fDate :
3/1/2002 12:00:00 AM
Firstpage :
721
Lastpage :
727
Abstract :
In synthetic aperture radar (SAR) image processing and analysis, the logarithmic transform is often employed to convert the multiplicative speckle model to an additive noise model. However, this nonlinear operation totally changes the statistics of SAR images. In this communication, we first review the statistical properties of speckle noise in both the intensity and the amplitude formats. Then, we derive the probability density functions, the mean values, and the variances to characterize the log-transformed speckle. Finally we discuss the problems introduced by the logarithmic transform on statistical analysis of SAR images. The statistical models developed in this communication will facilitate subsequent SAR image processing tasks based on the additive noise model
Keywords :
noise; radar imaging; remote sensing by radar; speckle; statistical analysis; synthetic aperture radar; transforms; SAR; additive noise model; amplitude formats; image processing; intensity; logarithmically transformed speckle; nonlinear operation; probability density functions; speckle noise; statistical properties; synthetic aperture radar; Additive noise; Image analysis; Image converters; Image processing; Noise level; Probability density function; Speckle; Statistical analysis; 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.2002.1000333
Filename :
1000333
Link To Document :
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