For imaging processing of synthetic aperture radar, speckles usually are removed with multi-look processing.
在合成孔径雷达成像处理中，一般采用多视处理来消除纹斑噪声。
Synthetic Aperture Radar (SAR) speckle filtering techniques can be classified into three categories: multi-look processing, statistical filtering and filtering in transform domain.
合成孔径雷达(SAR)图像相干斑噪声滤波技术分成三类：多视处理、统计滤波和变换域滤波。
According to the features of multi-look processing of SAR, a new, high efficient realization method is presented in this paper.
文中针对合成孔径雷达多视处理的特点，提出了一种新的高效实现方法。
An adaptive speckle filtering algorithm is proposed. It detects image points belonging to edge based on wavelet transform. Speckle are filtered according to detect results and multi-look.
提出了一种自适应斑点滤波算法，它基于小波变换检测图像中的边缘点，根据检测结果结合多视处理实现斑点滤波。
By estimating the incidence Angle of target, the refraction correction and the multi-look processing are accomplished. The effectiveness of the approach is demonstrated with experimental data set.
利用估计的目标入射角实现折射校正及前视探地雷达多视处理。对实测数据进行处理，结果证明了该方法的有效性。
By estimating the incidence Angle of target, the refraction correction and the multi-look processing are accomplished. The effectiveness of the approach is demonstrated with experimental data set.
利用估计的目标入射角实现折射校正及前视探地雷达多视处理。对实测数据进行处理，结果证明了该方法的有效性。
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