ABSTRACT

This work addresses the problem of detecting the changes between the two SAR images from the same region with two different phases. Because of the advantages of fast computing speed and high efficiency, the development of efficient and accurate algorithm for spatial change detection is always an important research issue in radar field. Unfortunately, the conventional spatial change detection method has low performance when the change area occupies only a small part. To solve this problem, an iterative Otsu method is proposed in this paper. First, a difference image is generated by using an improved neighborhood-based ratio approach that combines the neighborhood information. Then, we propose the iterative Otsu method to obtain the segmentation threshold of the difference image, in order to solve the segmentation problem when the proportion of the changing region is very small. The experimental results show that the detection accuracy of this algorithm is obviously improved compared with the existing methods and it has better robustness for the present of coherent speckle noise.

摘要

这项工作解决了检测具有两个不同相位的来自同一区域的两个SAR图像之间变化的问题。由于计算速度快，效率高的优点，开发高效，准确的空间变化检测算法一直是雷达领域的重要研究课题。不幸的是，当变化区域仅占一小部分时，传统的空间变化检测方法的性能较低。为了解决这个问题，本文提出了一种迭代的Otsu方法。首先，通过使用结合了邻域信息的改进的基于邻域的比率方法来生成差异图像。然后，我们提出了迭代Otsu方法来获得差异图像的分割阈值，为了解决变化区域所占比例很小时的分割问题。实验结果表明，与现有方法相比，该算法的检测精度有明显提高，对于相干斑点噪声的存在具有较好的鲁棒性。