一种基于像素差值编码度量不确定SAR图像相似性的新方法

在SAR图像目标识别、图像匹配等应用中,定义合理可靠的相似度尤为重要。该文在分析现有SAR图像相似度基础上,提出一种基于像素差值编码的相似度准则。首先将SAR图像按照相邻像素灰度差异生成编码图像,然后以编码图像之间的一致性作为相似度。该文从理论上证明了该相似度对SAR图像中相干斑噪声、部分遮挡和模糊等因素的鲁棒性和适应性,还讨论了将该准则应用于SAR图像匹配时,如何针对不确定性,给出一定置信水平下所有合理的匹配位置。理论和实验结果表明该文提出的相似度准则对SAR图像上相干斑噪声、部分遮挡以及模糊不敏感,能有效应用于不确定SAR图像的匹配。

A New Algorithm for Uncertain SAR Image Similarity Measure Based on Intensity Increment Code

The similarity measures between SAR images are the basis for target recognition,image registration and so on.In this paper,a new similarity measure for uncertain SAR images based on intensity increment code is proposed after analyzing the characteristics of existing methods.Firstly,the code image is obtained by averaging the difference of brightness in adjacent pixels in SAR images.Then,the similarity measure for uncertain SAR images is got by evaluating the concordance of code images.The proposed method is proved to be robust to speckle noise,partially occlusion and fuzzification through theoretical analysis in this paper and the SAR image matching at confidence level using the proposed method is discussed.The theoretical analysis and experimental results demonstrate that the proposed similarity measure is robust to the speckle noise,partially occlusion and fuzzification in SAR images and is valid for uncertain SAR image matching.