Research on Image Registration of Different Wavebands Based on SIFT Algorithm

Yuehan Gu, Hui Wang, Yuxuan Bie, Rui Yang, Yujia Li
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Abstract

With the continuous development of space industry, the types of remote sensing data obtained are increasing. Image registration is widely studied as a key step in image applications. However, the research of existing image registration methods focuses on the same band and the same data source, and there are relatively few studies on different data sources for different bands and different angles. For the images of different wavebands obtained by different types of sensors in the same scene, this paper uses the existing SAR images and optical images of different wavebands to register the different source images based on SIFT algorithm. Experimental results show that the algorithm has a good effect in the registration work between different source images.
基于SIFT算法的不同波段图像配准研究
随着航天事业的不断发展,获得的遥感数据种类越来越多。图像配准作为图像应用的关键步骤,得到了广泛的研究。然而,现有的图像配准方法的研究主要集中在同一波段、同一数据源上,针对不同波段、不同角度的不同数据源的研究相对较少。对于同一场景中不同类型传感器获得的不同波段图像,本文利用现有的不同波段的SAR图像和光学图像,基于SIFT算法对不同源图像进行配准。实验结果表明,该算法在不同源图像之间的配准工作中具有良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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