摘要
对遥感图像信噪比的研究,能够很好地反映在轨运行的不同卫星遥感器辐射性能的变化与衰退情况。由于在轨成像环境的差异,如果直接比较不同遥感图像间的信噪比关系,将与实际结果产生较大分歧。通过对遥感图像进行图像块划分、匀值图像块选取以及图像灰度值与成像时传感器入瞳辐亮度的关系转换,提出一种遥感图像间信噪比的评估和度量准则,以进行不同遥感图像信噪比的比较,实现全自动的信噪比评估及度量。并对我国卫星传感器在不同时期所成图像信噪比的关系进行分析,验证该信噪比评估和度量准则的可靠性。
The estimation and comparison of SNR for on-orbit remote sensing images provide an intuitive way to measure the radiation difference between two remote sensors and the degradation of the same sensor during different periods. However, due to the differences in the on-orbit imaging environment, the traditional SNR estimation methods would vary significantly from the ideal results. In this paper,we propose a new algorithm to automatically estimate and compare SNR through the following scheme., image partition, homogeneous blocks detection, and the transformation from digital number（DN） values to apparent radiance. By comparing SNR of remote sensing images obtained during different periods, the experimental results demonstrate that the proposed algorithm can produce more accurate and reliable results.
出处
《测绘学报》
EI
CSCD
北大核心
2013年第4期559-567,共9页
Acta Geodaetica et Cartographica Sinica
关键词
遥感图像
信噪比
辐亮度
匀值块选取
度量准则
remote sensing images SNR apparent radiance homogeneity detection comparison scheme
