Nonstationary spatial texture estimation applied to adaptive speckle reduction of SAR data

被引:12
作者
D'Hondt, Olivier [1 ]
Ferro-Famil, Laurent [1 ]
Pottier, Eric [1 ]
机构
[1] Univ Rennes 1, Rennes Inst Elect & Telecommun Lab, Image & Remote Sensing Grp, F-35042 Rennes, France
关键词
adaptive speckle filter; local orientation estimation; nonstationary spatial covariance; synthetic aperture radar (SAR) texture analysis;
D O I
10.1109/LGRS.2006.876223
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
This letter proposes a new model for the second-order statistics of spatial texture in synthetic aperture radar images. The autocovariance function is locally approximated by a two-dimensional anisotropic Gaussian kernel (AGK) to characterize texture by its local orientation and anisotropy. The estimation of texture parameters at a given scale is based on the gradient structure tensor operator and does not require the explicit computation of the autocovariance. Finally, a new filter called AGK minimum mean square error (MMSE) that takes into account this spatial information is introduced and compared with the refined MMSE filter. The proposed filter has better performance in terms of texture preservation and structure enhancement.
引用
收藏
页码:476 / 480
页数:5
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