In the last few years, the idea of combining images, called image fusion, appeared and it has become a critical area of research and development. Image fusion can be defined as the process of combining images, taken from the same scene and create one single image containing all the essential information of the original images. A single sensor is not always sufficient. Different sensors, effective in different environmental conditions, provide different information of a scene. The underlying idea in this article is to combine geophysical images taken with different sensors, from the same location, aiming to improve the detectability of possible archaeological targets. Three different fusion approaches were used; fusion by calculating the average of the individual images, and through the use of wavelet and curvelet transforms. Furthermore, taking advantage of the curvelet domain we exploit possible prior angle information to enhance the angles where the remnants are expected. We applied the methods in seven different pairs of geophysical images taken from two different archaeological areas. In all cases the fused images produced significantly better results than each of the original geophysical images separately.

中文翻译：

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地球物理图像在考古遗址研究中的融合

在最近几年中，出现了将图像合并的想法，即图像融合，它已成为研究和开发的关键领域。图像融合可以定义为合并从同一场景获取的图像并创建一个包含原始图像的所有基本信息的单个图像的过程。单个传感器并不总是足够的。在不同环境条件下有效的不同传感器可提供不同的场景信息。本文的基本思想是将在同一位置使用不同传感器拍摄的地球物理图像进行组合，旨在提高可能的考古目标的可检测性。使用了三种不同的融合方法：通过计算单个图像的平均值以及使用小波和Curvelet变换进行融合。此外，利用Curvelet域的优势，我们利用了可能的先验角度信息来增强预期残留的角度。我们将这些方法应用于从两个不同的考古地区拍摄的七对不同的地球物理图像中。在所有情况下，融合图像所产生的结果均明显优于单独的每个原始地球物理图像。