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MODIS影像条带噪声去除邻域插值法研究
引用本文:黄晓园,周汝良,罗辉.MODIS影像条带噪声去除邻域插值法研究[J].地理空间信息,2008,6(1):101-103.
作者姓名:黄晓园  周汝良  罗辉
作者单位:西南林学院,云南,昆明,650224
基金项目:云南省教育厅重点基金 , 云南省科技厅省院省校基金
摘    要:条带噪声是影响Modis影像质量和反演精度的重要因子,有些在频率域表现为高频信息和低频信息相混合。针对条带噪声形成的原因和规律性,以及对影像进行傅立叶变换频谱分析,比较了几种常用条带噪声去除方法及其局限性。提出了邻域插值法,编程实现自动定位噪声行,进行插值处理,取得了较好的去噪效果,并保留了影像的细部特征。

关 键 词:遥感  MODIS影像  务带噪声  邻域插值法
文章编号:1672-4623(2008)01-0101-02
收稿时间:2007-07-06
修稿时间:2007年7月6日

Method for Removing the Stripe Noises with Neighboring-region Interpolation Algorithm in Modis Images
HUANG Xiaoyuan,ZHOU Ruliang,LUO Hui.Method for Removing the Stripe Noises with Neighboring-region Interpolation Algorithm in Modis Images[J].Geospatial Information,2008,6(1):101-103.
Authors:HUANG Xiaoyuan  ZHOU Ruliang  LUO Hui
Institution:(Southwest Forestry College, Kunming 650224, China)
Abstract:Stripe noise is the important factor that affects the Modis quality of an image and retrieving precision. In frequency region, the expression is mixed with the composition information of low frequency and high frequency. According to the regularity and reason that stripe noise forms, as well as analyze the frequency spectra of an image carry out Fourier transform. Compare some kinds of methods on removing stripe noises and its limitation. Put forward neighboring-region interpolation algorithm, program realizes automatic location noise stripes, carry out interpolation handling. At the last, obtain better remove noises effect, and retain the detail features of images.
Keywords:remote sensing  Modis images  stripe noises  neighboring-region interpolation algorithm
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