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Differential Evolution for the Registration of Remotely Sensed Images

机译:差分演化用于遥感图像配准

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摘要

This paper deals with the design and implementation of a software system based on Differential Evolution for the registration of images, and in its testing by means of a set of bidimensional remotely sensed images on two problems, i.e. mosaicking and changes in time. Registration is carried out by finding the most suitable affine transformation in terms of maximization of the mutual information between the first image and the transformation of the second one, without any need for setting control points. A comparison is effected against a publicly available tool, showing the effectiveness of our method.
机译:本文讨论了基于差分进化的软件系统的设计和实现,该软件用于图像配准,并通过一套二维遥感图像对两个问题(即镶嵌和时间变化)进行测试。通过在第一图像和第二图像之间的互信息最大化方面找到最合适的仿射变换来进行配准,而无需设置控制点。与公开工具进行比较,显示了我们方法的有效性。

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