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A research on multisensor image registration based on edge matching and point matching

机译:基于边缘匹配和点匹配的多传感器图像配准研究

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Multisensor images registration is the necessary premise for multisensor image fusion in military field. The goal of image registration is to establish the geometrical correspondence among images which are acquired by different sensors or by the same sensor but in different modalities. In this paper, a research on multisensor image registration is done and two methods are presented. One method is based on edge matching, the other is based on point matching. Experimental results with various kinds of image have verified the robustness of the two methods. It is showed that point-based method works well for image pairs with large scale and rotation transformation while the gray level characteristics is well preserved, such as same sensor images but different times. Edge-based method works well for image pairs with small scale and rotation transformation while edge characteristics can be well preserved, such as multisensor or multispectral images. Both methods are automatic and computationally quite efficient. Root mean square error at the control points are given and outperformed by manual registration.
机译:多传感器图像配准是军事领域多传感器图像融合的必要前提。图像配准的目的是建立图像之间的几何对应关系,这些图像由不同的传感器或由相同的传感器以不同的方式获取。本文对多传感器图像配准进行了研究,提出了两种方法。一种方法是基于边缘匹配,另一种方法是基于点匹配。各种图像的实验结果证明了这两种方法的鲁棒性。结果表明,基于点的方法可以很好地处理具有大尺度和旋转变换的图像对,同时可以很好地保留灰度特性,例如相同的传感器图像,但时间不同。基于边缘的方法适用于小规模和旋转变换的图像对,同时可以很好地保留边缘特征,例如多传感器或多光谱图像。两种方法都是自动的,并且计算效率很高。给出了控制点的均方根误差,并且优于手动配准。

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