一种改进的遥感图像去噪自适应中值滤波算法  

An Improved Denoising Method of Adaptive Median Filter for Remote- Sensing Images

作　　者：张燎[1] 周小军[1] 谭薇[1] 

机构地区：[1]甘肃工业职业技术学院 电信学院,甘肃天水741025

出　　处：《矿山测量》2014年第1期12-14,95,共4页Mine Surveying

摘　　要：遥感图像在其获取、传输的过程中,受多种因素的影响,会含有大量噪声而使图像降质。文中在分析标准的中值滤波算法和自适应中值滤波算法的基础上,结合均值去噪提出了一种改进自适应遥感图像去噪方法。通过MATLAB实验证明:在噪声密度较大时,该算法能有效的滤除遥感图像椒盐噪声,同时可更好的保存原始图像的细节和边缘信息。与其它传统方法相比,文中介绍的方法更具有一定的优势。The remote sensing(RS) images are affected by many factors and add lots of noise,which lower the images quality in the process of obtaining and transmission.In the paper,the author provides an improved adaptive RS image denoising method based on the analysis of the standard median filter(SMF) and adaptive median filter(AMF) algorithm.MATLAB experiments proved,the larger the noise density is the filtering efficiency of the salt & pepper noise is better,at the same time,it can better preserve the details and edge information of the original image.Comparing with other traditional algorithms the improved method has more advantages.

关 键 词：遥感图像处理 均值滤波 自适应中值滤波 噪声密度 

分 类 号：P23[天文地球—摄影测量与遥感]