摘要
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 to research on the application of SAR images, which has been used in many ways successfldly, such as national economy and national defence. At present, the algorithms of SAR image change detection almost focus on singlechannel SAR image. While when muhichannels data is applied in change detection, the image information could be fully utilized, and more perfect detection result could be got. In this paper, the algorithm of change detection from muhichannel SAR image by MRF information fusion was proposed. The change detection was carried out by fusing different channels information of image. The algorithm could not only apply to the spatial reliant relationship among pixels, but fuse the different information from muhichannels. The basic principle and implementation procedure were focused on. In the end, the experimental comparison showed that the algorithm proposed in this paper could receive change detection result with very high precision.
出处
《测绘科学》
CSCD
北大核心
2012年第5期113-115,共3页
Science of Surveying and Mapping
基金
国家"863"项目"高效能机载SAR系统减灾救灾应用示范"(2007AA120306-03)