CBERS-02影像条带噪声处理方法探讨  

Study on Method of Removing Stripe Noise in CBERS-02 Image

作　　者：王文英[1] 周伟[1] 袁春[1] 刘顺喜 周连芳 杨红磊 

机构地区：[1]中国地质大学(北京)土地科学技术学院,北京100083 [2]土地勘测规划院,北京100035

出　　处：《安徽农业科学》2010年第8期4350-4352,共3页Journal of Anhui Agricultural Sciences

基　　金：国土资源部项目"中巴资源卫星土地宏观监测应用研究"

摘　　要：选择覆盖内蒙古阿荣旗地区CBERS02-CCD数据,采用直方图匹配法、主成分分析法、矩匹配法、低通滤波法、小波变换法等空间域和频率域共5种方法,结合定性分析和定量计算对比评价,结果表明,小波变换法可以有效去除条带噪声,而且在细节突出方面也存在一定优势;矩匹配法容易改变地物本身的光谱信息,虽然条带去除效果较好,但不适宜CBERS-02影像数据图像与处理工作;主成分分析法不仅没有去除条带,在某种程度上,反而加强了条带噪声。Based on the project of land macroscopical monitoring by CBERS,a remote sensing image of Arongqi in Neimonggu region was put into case study by using different methods：histogram matching,principal component analysis,moment matching,low-pass filter and wavelet transform.A qualitative analysis and quantitative assessment were carried out.The results showed that wavelet transform can not only effectively remove the stripe noise,but also keep the details;although moment matching also has a better removal,but change the features of the spectrum itself easily,so it is not fit for CBERS-02 image processing;principal component analysis can not remove stripe noise but strengthen it.

关 键 词：CBERS 条带噪声 条带消除 矩匹配 小波变换 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]