改进的基于小波变换SAR图像去噪方法的性能评价  

Evaluation of performance of deblurring of SAR images based on wavelet transform

作　　者：吴保奎[1] 范素凤[2] 

机构地区：[1]漯河职业技术学院机电工程系,河南漯河462002 [2]漯河职业技术学院计算机系,河南漯河462002

出　　处：《合肥工业大学学报（自然科学版）》2006年第3期379-381,共3页Journal of Hefei University of Technology：Natural Science

摘　　要：文章从两个方面研究了改进的基于小波变换的SAR图像去噪方法的性能,与常用的几种滤波方法进行对比;并考察该算法在抑制相干斑点噪声的同时保持图像的边缘等细节信息的性能;结果表明,该算法在有效滤除SAR图像斑点噪声的同时,有更强的图像细节信息保持能力。The performance of deblurring of synthetic aperture radar（SAR） images based on wavelet transform is studied. Several normal kinds of adaptive filtering methods are introduced. The performance of the presented algorithm in restraining the correlative speckle noise and keeping the edge of the image is examined. The result shows that the algorithm filters the SAR image speckle noise efficiently,meanwhile it has much stronger ability to maintain the detail information.

关 键 词：SAR图像 斑点噪声 小波变换 滤波 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]