Polarimetric SAR statistical analysis using alpha-stable distribution and its application in optimal despeckling

被引:11
作者
Bian, Yong [1 ]
机构
[1] Univ Calgary, Dept Geomat Engn, Calgary, AB T2N 1N4, Canada
关键词
OPTIMAL SPECKLE REDUCTION; PARAMETER-ESTIMATION; FILTER; MODEL;
D O I
10.1080/01431161.2013.808778
中图分类号
TP7 [遥感技术];
学科分类号
080201 [机械制造及其自动化];
摘要
In this article, the statistical model of the polarimetric synthetic aperture radar (SAR) single-look complex image is analysed using alpha-stable distribution. It is better to use alpha-stable distribution than Gaussian distribution to represent the statistical characteristics of the polarimetric SAR image. A polarimetric SAR covariance matrix estimation method based on fractional lower-order statistics (FLOS) is proposed. Based on this model, an adaptive polarimetric SAR optimal despeckling method based on FLOS is developed. This algorithm adaptively estimates the characteristic exponents of each channel and uses these estimated alphas to calculate the parameters for the optimal despeckling adaptively. The experiments using polarimetric SAR data demonstrate that the proposed method not only reduces the blurs that occur in the area of impulsive reflectors in the result of the original optimal despeckling method, but also maintains the speckle reduction ability (equivalent number of looks).
引用
收藏
页码:6796 / 6836
页数:41
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