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物理学报  2010 

Modeling high-resolution synthetic aperture radar images with heavy-tailed distributions
基于拖尾分布的高分辨率合成孔径雷达图像建模

Keywords: high-resolution synthetic aperture radar images,generalized central limit theorem,heavy-tailed distributions,log-cumulant estimator
高分辨率合成孔径雷达图像,广义中心极限定理,拖尾分布,对数累积量估计

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Abstract:

Statistical distributions of synthetic aperture radar (SAR) images based on central limit theorem cannot reflect the statistical characteristics of sharp peak and heavy tail of high-resolution SAR images. By using the generalized central limit theorem,the heavy-tailed distributions (heavy-tailed Rayleigh distribution for amplitude image and heavy-tailed exponential distribution for intensity image) are obtained from the symmetric stable distributions of real and imaginary parts of echoes. Taking the heavy-t...

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