A Coarse-to-Fine Matching Algorithm for FLIR and Optical Satellite Image Registration
A Coarse-to-Fine Matching Algorithm for FLIR and Optical Satellite Image Registration
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DOI：
10.1109/lgrs.2011.2176102
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发表时间：
2012-01
影响因子：
4.8
通讯作者：
Peng Wang;Zhiguo Qu;Ping Wang;Yinghui Gao;Zhenkang Shen
中科院分区：
文献类型：
--
作者：
Peng Wang;Zhiguo Qu;Ping Wang;Yinghui Gao;Zhenkang Shen
前视红外（FLIR）图像和光学卫星图像（可见光图像）的配准是具有挑战性的，但对于基于图像的导航系统是重要的。为了有效解决这一问题，提出了一种由粗到精的匹配算法。首先，基于姿态角和高度参数进行几何校正，以消除前视红外图像和可见光图像之间明显的旋转和尺度差异。然后，在精配准阶段，提取可见光图像和校正后的红外图像的边缘，提出了一种能够处理相似变换失真的鲁棒点集配准算法。最后，在模拟图像和真实的图像上的实验表明，该算法在鲁棒性和准确性方面都有很好的表现，真实的图像的配准精度可以达到1个像素左右。
The registration of a forward-looking infrared (FLIR) image and an optical satellite image (visible image) is challenging but important for image-based navigation systems. To solve this problem effectively, a coarse-to-fine matching algorithm is proposed. First, geometric rectification based on the attitude angles and height parameter is carried out to eliminate the distinct rotation and scale discrepancies between the FLIR and visible images. Then, in the fine registration step, the edges of the visible image and rectified infrared image are extracted, and a robust point set registration algorithm which can deal with the similarity transformation distortion is proposed. Finally, the experiments on both the simulated images and real images show that our algorithm can achieve excellent performance in terms of both robustness and accuracy, and the registration precision of real images can be around one pixel.