- 软件名称：一种高空间分辨率遥感影像信噪比测定方法
- 软件大小： 0.00 B
- 软件评级： ★★★
- 开 发 商： 程结海,柏延臣
- 软件来源： 《遥感技术与应用》
- 解压密码：www.gissky.net
资源简介
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.相关资源
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