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

CBERS-02影像条带噪声处理方法探讨(英文)

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：《Meteorological and Environmental Research》2010年第1期42-45,共4页气象与环境研究（英文版）

基　　金：Supported by Application and Studies on Land Macroeconomic Monitoring of CBERS from Ministry of Land and Resources

摘　　要：Based on the project of land macroscopical monitoring by CBERS,a remote sensing image of Arongqi in Inner Mongolia was studied by different methods such as histogram matching,principal component analysis,moment matching,low-pass filter and wavelet transform.A qualitative analysis and quantitative assessment was also carried out.The results showed that wavelet transform could effectively remove stripe noise,and also kept its advantages in the details.Moment matching had a better strip removal,but it changed features in its spectrum easily and it was not fit for CBERS-02 image processing.Principal component analysis could not remove stripe noise,but also strengthened it in a certain extent.Based on the project of land macroscopical monitoring by CBERS,a remote sensing image of Arongqi in Inner Mongolia was studied by different methods such as histogram matching,principal component analysis,moment matching,low-pass filter and wavelet transform.A qualitative analysis and quantitative assessment was also carried out.The results showed that wavelet transform could effectively remove stripe noise,and also kept its advantages in the details.Moment matching had a better strip removal,but it changed features in its spectrum easily and it was not fit for CBERS-02 image processing.Principal component analysis could not remove stripe noise,but also strengthened it in a certain extent.

关 键 词：CBERS Stripe noise Stripe removing Moment matching Wavelet transform China 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]