结合强度和相干信息的多阈值融合SAR影像变化检测

本文研究了联合SAR影像强度与相干信息的多阈值融合变化检测技术。针对SAR影像强度和相干信息各自统计分布特点，首先通过选定合适的统计分布模型分别对强度和相干信息进行统计分布拟合，并以Jeffrey距离为差异度量获取两种信息的差异图。然后利用三种阈值方法分别对两者的差异图进行阈值分割，获得多幅初步的变化结果图。最后利用马尔科夫随机场进行融合，得到最终的变化检测结果。实验结果表明该融合策略可以获得比单一阈值法更为稳定的变化检测结果。 

Multi-thresholds Fusion Based Change Detection of SAR Images by Combining the Intensity and Coherence Information

In this paper, we investigate the change detection techniques for SAR images by using the statistical distribution models of the intensity and coherence information with a multi-thresholds fusion method. According to the statistical characteristics of the intensity and coherence information of SAR images, we first select suitable distributions to model the intensity and coherence information respectively, and use Jeffrey distance as difference metric to obtain difference maps. We then employ three different thresholding segmentation methods to obtain multiple initial results of change detection. Finally, we use Markov Random Field to fuse multiple change detection maps for achieving the final result. Experiments show that our fusion strategy can obtain more stable results compared with the optimal threshold based methods.