频域滤波与直方图匹配相结合的条带噪声去除法  

Destriping Method Combined with Frequency Filter and Histogram Matching

作　　者：罗敏 康一飞 潘励[1] LUO Min

机构地区：[1]武汉大学遥感信息工程学院,湖北武汉430079

出　　处：《地理空间信息》2018年第7期11-12,15,123,共3页Geospatial Information

基　　金：国家重点基础研究发展计划资助项目(2012CB719905)

摘　　要：针对高分辨率遥感影像中存在的条带噪声,提出了一种频域滤波与直方图匹配相结合的去噪方法。首先利用变换域的方法提取条带噪声;再利用butterworth滤波器滤除条带噪声成分;最后将滤波后的结果影像作为参考影像,对原始含条带噪声的影像进行基于影像列的直方图匹配。实验结果表明,该方法能有效去除条带噪声。Aim at the stripe noise in high-resolution remote sensing images,we proposed a destriping method combined with frequency filter and histogram matching.Firstly,the method used the 2D multi-scale wavelet decomposition to extract the stripe noise,and then used the butterworth filter to filter out the stripe noise component in the frequency domain.Finally,this method did column-based histogram matching to the original image by using the filtered result image as the reference image.The experimental results show that the proposed method can obtain better results,and can effectively remove the stripe noise.

关 键 词：高分辨率遥感影像 条带噪声 频域滤波 直方图匹配 

分 类 号：P237[天文地球—摄影测量与遥感]