摘要
通过对SAR图像的特征分析,采用小波分析方法,对图像做小波变换,提取各层小波分解系数,利用软阈值法对各系数作去噪预处理,然后再利用软阈值法对各系数做衰减或增强处理,最后重构出清晰图像.结果显示,用此方法处理的SAR图像,效果较好,既增强了图像对比度,又不损失细节信息,为进一步分析和开展海洋SAR研究奠定了坚实的基础.
A SAR image data enhancement system based on wavelet transformation is represented and implemented.According to the feature of SAR Images,the wavelet analysis method is put forward to dispose the SAR images and the wavelet coefficients are picked up.The clear SAR images are reconstructed after the wavelet soft-threshold noise reduced and the disposition to each of the wavelet coefficients enhanced.The result improves the image qualities of SAR and shows that it has a variety of applications.
出处
《厦门大学学报（自然科学版）》
CAS
CSCD
北大核心
2005年第B06期270-272,共3页
Journal of Xiamen University：Natural Science
