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A New Scheme for Multisensor Image Matching

机译：多传感器图像匹配的新方案

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摘要

A new iteration scheme for infrared and visible image matching is presented in this paper. The goal is to derive a new method for highly accurate matching of multisensor images. The existing matching algorithms based on image pyramid decomposition have been popular as they have advantages of low computational complexity. However they can only be applied to images from the same sensor. The proposed new iteration approach can register both visible and infrared images. To capture large displacements, coarse-to-fine new refinement of the matching parameters is performed based on the Gaussian pyramid. Parameters are propagated on each round of iteration from a low level to a higher resolution to produce more accurate parameters. Experimental results for matching of infrared and visible images show that the proposed scheme is effective and reliable.
机译：本文提出了一种用于红外和可见图像匹配的新迭代方案。目标是推导出一种新的方法，用于高准确匹配多传感器图像。基于图像金字塔分解的现有匹配算法已经很受欢迎，因为它们具有低计算复杂性的优点。然而，它们只能应用于来自同一传感器的图像。所提出的新迭代方法可以注册可见和红外图像。为了捕获大型位移，基于高斯金字塔执行匹配参数的粗待精细的新改进。参数在每轮迭代中传播，从低电平到更高的分辨率以产生更准确的参数。用于红外和可见图像匹配的实验结果表明，该方案是有效可靠的。

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