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遥感技术与应用  2003, Vol. 18 Issue (5): 313-316    DOI: 10.11873/j.issn.1004-0323.2003.5.313
图像处理     
一种改进的矩匹配方法在CMODIS数据条带去除中的应用
陈劲松,邵 芸,朱博勤
(中国科学院遥感应用研究所开放实验室,北京 100101)
Destriping in CMODIS Data by A Improved Moment Matching
CHEN Jin-song, SHAO Yun, ZHU Bo-qin
(Institute of Remote Sensing Applications,Chinease Academy of Sciences,Beijing100101,China)
 全文: PDF 
摘要:

由于传感器之间对接受的地物辐射信号的响应特性不同,导致CMODIS数据中的许多波段含有大量的条带。这些噪声严重影响了CMODIS数据的解译和信息提取。介绍了几种常用在TM、MSS、SPOT等多传感器光谱仪中条带去除方法,提出了一种改进矩匹配方法用于CMODIS数据中的条带去除,并比较了这种方法和其它几种常用方法对几何纠正前非均匀地物分布的CMODIS数据的去条带噪声结果。结果表明这种新方法要优于以上提到的几种常用方法,具有很好的去条带噪声效果,同时保持图像原有的的信息。这种方法在其它多传感器遥感图像的条带噪声去除中也有很强的适用性。

关键词: CMODIS矩匹配条带去除    
Abstract:

As the first Chinese moderate resolution spectrometer in SZ-3 spacecraft, CMODIS contains bundant spectral information with 34 channels in the range from the visible to the infrared. But sensor to ensor variation within instruments often leads to striping in many channels of CMODIS. The striping oise can distractingly and obstructively affects the interpretation and application of CMODIS data. This aper discusses the methods reviously used in striping removal of TM, MSS, MOS-B and presnts a new ethods based on moment matching. The assumption in moment atching is that changes in spatial ariability are small over the certain length scale associated with a given sweep. This assumption can be nvalid if:①an object oundary runs nearly parallel to a scan line;②an object is too small to be imaged by ll detectors within a given sweep. The Application results of the improved moment matching to non-geometrically corrected CMODIS data and analysis of the results show that the method can get the better result han the previously used methods mentioned in this paper in removing striping of CMODIS data,especially removing the disadvantage of moment matching.This method is also applicable in striping removal of othermultisensor remote sensing data.

Key words: CMODIS    Destriping    Moment matching
收稿日期: 2003-04-17 出版日期: 2011-11-24
:  TP 75  
基金资助:

中国科学院知识创新工程重要项目“数字地球基础理论研究(KZCX-312)”。

作者简介: 陈劲松(1969-),男,博士生,主要从事微波遥感应用技术、遥感图像处理方面的研究。
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引用本文:

陈劲松,邵 芸,朱博勤. 一种改进的矩匹配方法在CMODIS数据条带去除中的应用[J]. 遥感技术与应用, 2003, 18(5): 313-316.

CHEN Jin-song, SHAO Yun, ZHU Bo-qin. Destriping in CMODIS Data by A Improved Moment Matching. Remote Sensing Technology and Application, 2003, 18(5): 313-316.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2003.5.313        http://www.rsta.ac.cn/CN/Y2003/V18/I5/313

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