SIFT算法在雷达图像匹配中的应用

Application of Scale Invariant Feature Transform to SAR image matching

摘要:

为了提高合成孔径雷达(SAR)图像匹配的稳定性和可靠性，提出了一种基于SIFT特征的雷达图像匹配方法。对不同条件下的同源和非同源的SAR图像进行了大量的实验，给出了初步的匹配结果。实践证明，对于本文研究的数据源，该算法稳定可靠，有很好的有效性和鲁棒性。

Abstract:

In order to improve the stability and reliability of Synthetic Aperture Radar(SAR) images matching, a new scene matching algorithm for SAR images based on Scale Invariant Feature Transform (SIFT) features was proposed. Numerous experiments were conducted for homologous and non-homologous SAR images under various conditions, and the preliminary matching conclusions were obtained. The experimental results demonstrates that the proposed approach is stable，reliable，efficient and robust for the data used in the paper.