光学遥感图像信噪比评估方法研究进展

doi:10.11873/j.issn.1004-0323.2010.2.303

遥感技术与应用

2010, Vol. 25

Issue (2): 303-309 DOI: 10.11873/j.issn.1004-0323.2010.2.303

综述

光学遥感图像信噪比评估方法研究进展


朱博^1,2,3,王新鸿²,唐伶俐²,李传荣²

1.中国科学院对地观测与数字地球科学中心，北京 100190；
2.中国科学院光电研究院，北京 100190；3.中国科学院研究生院，北京 100049

Review on Methods for SNR Estimation of Optical Remote Sensing Imagery

ZHU Bo^1,2,3,WANG Xin-hong²,TANG Ling-lli²,LI Chuan-rong²

1.Center for Earth Observation and Digital Earth,Chinese Academy of Sciences,Beijing 100190,China;
2.Academy of Opto-Electronics,Chinese Academy of Sciences,Beijing 100190,China;
3.Graduate University of Chinese Academy of Sciences,Beijing 100049,China

全文: PDF(794 KB)

摘要：

遥感图像数据的信噪比是评价遥感传感器获取数据质量的一项重要指标，图像数据的信噪比能够在很大程度上反映遥感仪器的信噪比性能。介绍了通过遥感图像分析评估传感器信噪比的常用方法，以及这些方法的优缺点。并从原理上对各种方法进行了方法间的性能对比分析，包括方法的自动化程度、运算速度、鲁棒性、适用面、准确程度和对图像计算区域的要求等。此外，提出有必要对各种算法进行在实际应用中的比较分析，从而能够针对不同遥感器和不同类型的遥感图像选择最好的评估方法，达到合理、准确地应用这些方法的目的。

关键词： 光学遥感图像; 信噪比; SNR; 噪声评估

Abstract:

The signal-to-noise ratio (SNR) is one of the most important indices which can be used to evaluate the data quality obtained by a remote sensor.To a great extent,the SNR of an image reflects the SNR of the remote sensor.Several typical methods to estimate the SNR of optical remote sensing imagery are summarized in this paper,and their merit and restrictions are presented.And this paper also performs the comparison and analysis between these methods based on their own principles,from six aspects including the automatic computation,the computing time,the stability,the applicability,the suitable sensor category,and the uniformity of estimating areas.In addition,the paper points out that the comparison and analysis between methods in various specific applications should be done in the future.The study will help to choose a reasonable SNR estimating method aiming at different remote sensors and different types of remote sensing images.

Key words: Optical remote sensing imagery Signal-to-noise ratio(SNR) Noise estimation

收稿日期: 2009-12-02 出版日期: 2010-10-19

基金资助:

863项目（O91303A01N）资助。

作者简介: 朱博（1983-）男，硕士研究生，主要从事遥感图像质量分析与应用研究。E-mail：zhubobanana@163.com。

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引用本文:

朱博, 王新鸿, 唐伶俐, 李传荣. 光学遥感图像信噪比评估方法研究进展[J]. 遥感技术与应用, 2010, 25(2): 303-309.

ZHU Bo, WANG Xin-hong, TANG Ling-li, LI Chuan-rong. Review on Methods for SNR Estimation of Optical Remote Sensing Imagery. Remote Sensing Technology and Application, 2010, 25(2): 303-309.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2010.2.303 或 http://www.rsta.ac.cn/CN/Y2010/V25/I2/303

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