基于二阶灰度统计特征的SAR图像变化检测

SAR Image Change Detection Based on Second Order Gray Statistical Characteristics

为了探讨斑点噪声对SAR(Synthetic Aperture Radar)图像变化检测的影响,深入研究了SAR图像的二阶灰度统计特性,提出了一种基于二阶灰度统计特性的SAR图像变化检测算法,并针对斑点噪声,进行了比较变化检测实验。实验结果表明,该变化检测算法是可行、有效的,且不受斑点噪声的影响。

The gray value of SAR （Synthetic Aperture Radar） image reflects the backscattering characteristics of ground objects, and the effective means of studying SAR image gray characteristic is probability statistic. In order to discuss the impact of speckle noise on SAR image change detection, this paper deeply studies the second order gray statistical characteristics of SAR images, and proposes a new SAR image change detection algorithm based on the second order statistical characteristics. Aiming at speckle noise, some comparative experiments for SAR image change detection are performed. The experimental results show that the proposed change detection algorithm is feasible and effective, and the algorithm is not affected by speckle noise.