摘要
针对海上雷达图像在图像处理中的噪声消除问题进行分析,并研究小波变换的基本原理以及利用小波变换进行噪声消除的依据。由于SAR图像生成机理的特殊性,传统的噪声消除方法执行效果并不理想,而小波变换具有的多尺度变换特性应用到SAR含噪声图像上能够有效地分割开信号与噪声,实现较好的噪声消除效果。最后,通过实验仿真实现了小波变换的SAR噪声消除,并与经典的噪声消除方法消噪结果进行对比分析,证明小波变换在进行SAR图像噪声消除上的有效性。
In this paper,we analyzed the problem of noise eliminating in Marine radar images,and researched on the principles of wavelet transform and SAR images denoising. Due to the particularity of SAR image formation principle,the traditional methods are not ideal ondenoising effect. Because the multi-scale characteristics of wavelet transform,the signal and noise in SAR images can be effectively separated through wavelet transform.Finally,we adopted the wavelet transform to realize SAR imagesdenoising,and compared with the classical methods,the denoising results proves that the wavelet transform has the better effectiveness on the SAR imagesdenoising.
出处
《舰船科学技术》
北大核心
2016年第3X期154-156,共3页
Ship Science and Technology
基金
湖北省教育厅科学研究计划资助项目(B2014201)
2015年武汉船院院级课题立项资助项目(2015y11)
