摘要
舰船尾迹的检测研究有利于合成孔径雷达(SAR)对舰船的检测与识别。针对SAR图像中舰船尾迹的检测,图像去噪是图像预处理中重要的一个步骤,论文根据Ridgelet变换在图像处理奇异性中的优势,提出采用平移不变的Ridgelet变换用于SAR图像的舰船尾迹去噪的算法,该算法能够使在子带的分解中产生不连续,图像更加光滑,边缘更加清晰,去掉更多的噪声,在处理中能得到更好的处理效果,并通过实验验证了该算法的可行性。
The detection research of ship wake is helpful to the ship detection and identification using synthetic aperture radar（SAR）.In view of SAR images of ship wake detection,image denoising is an important step in image preprocessing,in this paper,based on ridgelet transform in image processing of the advantages of singularity,translation invariant of ridgelet transform is proposed for SAR image of ship wake denoising algorithm,the algorithm can make the discontinuity in the subband decomposition,the image more smooth,edgeclearer,to remove more noise,get better treatment effect in the process,and the feasibility of the algorithm is verified by experiment.
出处
《舰船电子工程》
2016年第1期127-130,共4页
Ship Electronic Engineering
基金
军队科研专项资助项目(编号:41512322)
国家自然科学基金资助项目(编号:60874112)资助
