摘要
曲波变换(Curvelet transform)是小波变换的延伸和最新发展,具有各向异性和多方向性等良好特性,是表示分段平滑曲线边缘的最优基。本文阐述了Curvelet变换的基本原理,并提出基于第二代Curvelet变换的SAR图像增强算法。对含有舰船尾迹的海洋SAR图像进行增强,仿真实验结果证实了算法的有效性。
Curvelet transform is the extension and latest development of wavelet, that have certain perfect characteristics such as anisotropy and directionality. It's the optimal basis for the representation of the edges of smooth curves. In this paper, we describe the basic principle of curvelet, and we proposed the SAR image enhancement algorithm based on second generation curvelet transform. This algorithm makes application for ocean SAR image enhancement with the trail of ship. Excremental result shows the availability of the algorithm.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2006年第z3期2134-2135,共2页
Chinese Journal of Scientific Instrument
基金
河北省教育厅自然科学(2004124)资助项目
关键词
SAR图像
曲波变换
图像去噪
图像增强
SAR image curvelet transform image denoise image enhancement
