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CBERS-02影像条带噪声处理方法探讨
引用本文:王文英,周伟,袁春,刘顺喜,周连芳,杨红磊.CBERS-02影像条带噪声处理方法探讨[J].安徽农业科学,2010,38(8):4350-4352.
作者姓名:王文英  周伟  袁春  刘顺喜  周连芳  杨红磊
作者单位: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
基金项目: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。

关 键 词:CBERS  条带噪声  条带消除  矩匹配  小波变换

Study on Method of Removing Stripe Noise in CBERS-02 Image
WANG Wen-ying et al.Study on Method of Removing Stripe Noise in CBERS-02 Image[J].Journal of Anhui Agricultural Sciences,2010,38(8):4350-4352.
Authors:WANG Wen-ying
Institution:School of Land Science and Technology;China University of Geosciences;Beijing 100083
Abstract: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 ch...
Keywords:CBERS  Stripe noise  Stripe removing  Moment matching  Wavelet transform  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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