一种高空间分辨率遥感影像信噪比测定方法

doi:10.11873/j.issn.1004-0323.2015.3.0469

遥感技术与应用

2015, Vol. 30

Issue (3): 469-475 DOI: 10.11873/j.issn.1004-0323.2015.3.0469

图像与数据处理

一种高空间分辨率遥感影像信噪比测定方法

程结海^1,2,3,柏延臣^2,3

(1.河南理工大学测绘与国土信息工程学院,河南焦作 454003;
2.北京师范大学/中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京 100875;
3.北京师范大学地理学与遥感科学学院,北京 100875)

A Method for Measuring Signal-to-noise Ratio of High Spatial Resolution Remote Sensing Images

Cheng Jiehai^1,2,3,Bo Yanchen^2,3

(1.School of Surveying&Land Information Engineering,Henan Polytechnic University,Jiaozuo 454003,China;
2.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by Beijing Normal University and
the Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100875,China;
3.School of Geography,Beijing Normal University,Beijing 100875,China)

全文: PDF(2899 KB)

摘要：

信噪比是用来评价遥感影像质量一个重要的辐射特性参数。通过合适的方法精确地测定出遥感影像对应的信噪比参数,可以帮助数据提供者或用户更好地预测和提高遥感影像的信息提取能力。现有的信噪比测定方法大多基于中低空间分辨率遥感影像进行,并不能很好地适用于高空间分辨率遥感影像。针对现有信噪比测定方法的这一局限性,从高空间分辨率遥感影像本身特点出发,通过自适应地划分DN值子区间,以一定百分比最小局部标准差的平均值估算每一DN值子区间对应的噪声大小,进而估算每一DN值子区间对应的信噪比。该方法充分考虑了高分遥感影像内空间细节信息、边缘信息以及纹理信息较强而使得均值区域很难获取的特点。研究表明:改进的方法对于估算高分遥感影像信噪比具有较好的适用性。

关键词： 信噪比; 高空间分辨率; 遥感影像; 局部标准差

Abstract:

The signal\|to\|noise ratio (SNR) is a very important parameter for assessing the quality of remote sensing images.The accurate measurement of the SNR parameter from the corresponding remote sensing image through suitable methods can contribute to the prediction and improvement of the information extraction performance of the remote sensing image for data providers and data users.The existing methods of measuring SNRs are mostly aimed at the median/low spatial resolution images,and are unsuitable for the high spatial resolution images.Considering the limitations of existing methods of measuring SNRs,a method was applied according to the characteristics of high spatial resolution remote sensing images.Based on the adaptive DN subinterval divisions,the noise values of all the DN subintervals were estimated by the mean values of the minimum local standard deviations of the certain percentages,and then the SNRs of corresponding DN subintervals were estimated further.The method overcomes the difficulty of choosing homogeneous areas caused by more detailed spatial information,edge information and texture information.The results show that the improved method has good applicability for estimating the SNRs of high spatial resolution remote sensing images.

Key words: Signal-to-noise ratio High spatial resolution Remote sensing image Local standard deviation

收稿日期: 2014-01-05 出版日期: 2015-08-14

P 23

基金资助:

国家自然科学基金项目（41271347）,河南省教育厅科学技术重点研究项目（14A420004）,河南省高校基本科研业务费专项资助基金(NSFRF140114),校博士基金项目（B2014-014）。

通讯作者: 柏延臣（1972-），男，甘肃景泰人，教授，主要从事遥感、GIS和空间分析及其不确定性和尺度方面的研究。Email:boyc@bnu.edu.cn。

作者简介: 程结海（1980-），男，安徽太湖人，副教授,博士，主要从事遥感信息提取与不确定性研究。Email：chengjh80@hpu.edu.cn。

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引用本文:

程结海,柏延臣. 一种高空间分辨率遥感影像信噪比测定方法[J]. 遥感技术与应用, 2015, 30(3): 469-475.

Cheng Jiehai,Bo Yanchen. A Method for Measuring Signal-to-noise Ratio of High Spatial Resolution Remote Sensing Images. Remote Sensing Technology and Application, 2015, 30(3): 469-475.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2015.3.0469 或 http://www.rsta.ac.cn/CN/Y2015/V30/I3/469

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