基于稀疏特征的SAR影像质量提高方法

Improvement Method of the SAR Image Quality Based on Sparse Feature

针对合成孔径雷达(SAR)数据分布的尖峰性和重尾性,通过研究SAR影像强度的分布规律,提出了基于稀疏特征的SAR影像质量提高方法。首先对SAR影像的基础数据进行压缩分布处理和稀疏先验分布处理,得到质量较好的灰度影像;再利用基于模糊理论的SAR影像对比度增强算法增强了SAR影像的自适应对比度,大幅提升SAR影像的显示效果;最后利用实测数据验证了该方法的有效性。

Aiming at the spikes and heavy tailed features of SAR data distribution, according to the distribution rules of SAR image intensity, we presented a SAR image quality improvement method based on sparse feature in this paper. Firstly, we made the compress distribution processing and the sparse prior distribution processing for the SAR image basic data to obtain the gray-scale images with good quality. Then, we used SAR image contrast enhancement algorithm based on fuzzy theory to enhance the contrast of SAR images, which could improve the SAR image display effect significantly. Finally, we used the measured data to verify this method.