摘要
针对合成孔径雷达(SAR)高分辨率指标实现受仪器代价约束,难以无限提高图像视觉效果的问题,提出了利用小波滤波器和高斯混合模型的SAR图像增强方法,实现强点后聚焦,提升图像可判读性。在传统成像处理的基础上,采用了单一图像输入以及基于Daubechies小波滤波器的特征提取方法实现增强。用实际的Ka频段毫米波SAR图像进行处理验证并对比多类小波滤波器。结果表明:该方法相比传统的双线性插值方法,能够对实验特征强点3 dB宽度收窄23%,具有运算量低、只需要待增强图像单一输入源的特点。
In order to solve the problem that the visual effect of images cannot be improved infinitely since the synthetic aperture radar(SAR)high-resolution parameters are constrained by the payload instrument cost,an SAR image enhancement method based on wavelet filter and Gaussian mixture model is proposed so as to achieve point postfocus and improve the image interpretability.On the basis of traditional imaging processing,a single image input and a feature extraction method based on Daubechies wavelet filter are used to achieve the enhancement.The actual Ka-band millimeter-wave SAR image is used for processing verification and comparison of multiple types of wavelet filters.The results show that compared with the traditional bilinear interpolation method,the proposed method can narrow the 3 dB width of the experimental feature strong point by 23%,and has the characteristics of low computational complexity and a single input source need for images to be enhanced.
作者
吴思利
孙颖
王辉
滑伟
WU Sili;SUN Ying;WANG Hui;HUA Wei(Shanghai Institute of Satellite Engineering,Shanghai 201109,China)
出处
《上海航天（中英文）》
CSCD
2021年第S01期26-31,共6页
Aerospace Shanghai（Chinese&English）
基金
“上海市毫米波空天信息获取及应用技术重点实验室”项目资助
关键词
图像增强
图像处理
小波滤波器
毫米波合成孔径雷达
混合模型
image enhancement
image processing
wavelet filter
millimeter wave synthetic aperture radar(SAR)
mixture model
作者简介
吴思利(1996—),男,硕士,主要研究方向为SAR信号处理。
