ABSTRACT

Over the last two decades, there has been a significant improvement in the quality and volume of the remote-sensing images. With the extensive availability of the images, these are used in many applications such as change detection, image mosaicing, and image fusion where image registration is very necessary. However, image registration is a challenging task in remote sensing due to the following reasons: geometric differences between images, intensity differences, and noise affect. Over the years, wide variety of algorithms have come into existence to handle these issues. In this paper, a comprehensive review is presented on these remote sensing image registration methods. At first, the general information of remote sensing image registration, its classifications, and application areas are provided. Then, an exhaustive review is given on the existing methods and their merits as well as shortcomings are mentioned. Finally, a comparative analysis is provided for the state-of-the-art methods and current challenges of this research are presented.

摘要

在过去的二十年中，遥感图像的质量和数量有了很大的提高。随着图像的广泛可用性，这些图像被用于许多应用中，例如变化检测，图像拼接和图像融合，其中非常需要图像配准。但是，由于以下原因，图像配准在遥感中是一项艰巨的任务：图像之间的几何差异，强度差异和噪声影响。多年来，已经出现了各种各样的算法来处理这些问题。本文对这些遥感图像配准方法进行了全面的综述。首先，提供了遥感图像配准的一般信息，分类和应用领域。然后，对现有方法进行了详尽的审查，并指出了它们的优缺点。最后，对最新技术进行了比较分析，并提出了本研究的当前挑战。