›› 2013, Vol. 42 ›› Issue (4): 0-0.

• 学术论文 •    

一种遥感图像信噪比评估和度量准则

傅鹏,孙权森,纪则轩,陈强   

  1. 南京理工大学
  • 收稿日期:2012-06-05 修回日期:2012-09-06 出版日期:2013-08-20 发布日期:2014-01-23
  • 通讯作者: 傅鹏 E-mail:njust_fupeng@163.com
  • 基金资助:
    国家自然科学基金项目;国家自然科学基金项目;教育部博士学科点基金项目;南京理工大学自主科研专项计划资助项目

A method of SNR estimation and comparison for remote sensing images

  1. 1. Nanjing University of Science and Technology
    2.
  • Received:2012-06-05 Revised:2012-09-06 Online:2013-08-20 Published:2014-01-23

摘要: 遥感图像的信噪比是在轨遥感器辐射性能的重要体现。对遥感图像信噪比的研究,能够很好地反映出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。通过分析我国卫星传感器在不同时期所成图像信噪比的关系,验证了提出的信噪比评估和度量准则的稳定可靠性。

关键词: 遥感图像, 信噪比, 辐亮度 , 匀值块选取, 度量准则

Abstract: Signal to noise ratio (SNR) of remote sensing images is an important indicator of radiation performance for on-orbit remote sensors. 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.

Key words: remote sensing images, SNR, apparent radiance, homogeneity detection, comparison scheme

中图分类号: