摘要
合成孔径雷达(SAR)图像配准技术是SAR图像处理的重要步骤。为了实现SAR图像配准的准确性,提出一种改进的基于SIFT算法的配准方法。SAR图像畸变复杂,直接进行SIFT算法整体匹配效果不理想,将图像畸变模型分解为整体畸变和局部畸变。采用先用简化的SIFT算法进行整体粗配准,再进行三角网局部匹配,并且在三角网内重复进行三角网匹配。实验结果证明该算法时间复杂度优于传统SIFT的时间复杂度,配准的准确性有所提高。
The technology of SAR image registration is important step of image processing. An improved algorithm based on SIFT for SAR image registration is proposed in this paper for ensuring the accuracy. Distortions of SAR image are complicated, so the distortions model from image to image is factorized into global distortion and local distortion. The result of directing registration on the image based on SIFT algorithm is undesirable. Firstly, a simplified SIFT algorithm is used to doing the global registration of the SAR image, then local registration is done with the triangulation network. Finally, local registration is repeated in the triangulation network. Experiment results validated time complexity between this algorithm and the traditional is closed, and accuracy of this algorithm is increased.
出处
《电子测量技术》
2014年第8期70-74,共5页
Electronic Measurement Technology
关键词
SAR图像配准
SIFT算法
三角网
局部匹配
SAR image registration
SIFT algorithm
triangulation network
local registration
