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SAR图像变化检测是近几年SAR图像应用研究的新领域,现有的SAR图像变化检测算法大多针对单通道图像数据,而利用多通道SAR图像数据进行变化检测,可以充分利用图像信息,能够得到更好的检测效果。论文研究了基于MRF信息融合的多通道SAR图像变化检测算法,通过融合图像不同通道信息,实现变化检测;并重点论述了算法的基本原理和算法实现过程,通过实验对比,证明了论文提出的算法可以得到较高的检测精度。
SAR image change detection is a new field of applied SAR image research in recent years. Most existing SAR image change detection algorithms mostly focus on single-channel image data, and use multi-channel SAR image data to change detection, which can make full use of image information and obtain Better detection results. In this paper, we study the multi-channel SAR image change detection algorithm based on MRF information fusion, and realize the change detection by fusing the information of different channels in the image. The basic principle of the algorithm and the realization process of the algorithm are discussed emphatically. The algorithm proposed by the paper is proved by experiments Can get higher detection accuracy.