Over the past few decades, with the rapid development of global aerospace and aerial remote sensing technology, the types of sensors have evolved from the traditional monomodal sensors (e.g., optical sensors) to the new generation of multimodal sensors [e.g., multispectral, hyperspectral, light detection and ranging (LiDAR) and synthetic aperture radar (SAR) sensors]. These advanced devices can dynamically provide various and abundant multimodal remote sensing images with different spatial, temporal, and spectral resolutions according to different application requirements. Since then, it is of great scientific significance to carry out the research of multimodal remote sensing image registration, which is a crucial step for integrating the complementary information among multimodal data and making comprehensive observations and analysis of the Earths surface. In this work, we will present our own contributions to the field of multimodal image registration, summarize the advantages and limitations of existing multimodal image registration methods, and then discuss the remaining challenges and make a forward-looking prospect for the future development of the field.

翻译：在过去几十年里,随着全球航空航天和航空遥感技术的迅速发展,传感器的类型已经从传统的单一式传感器(例如光学传感器)发展到新一代多式联运传感器[例如多光谱、超光谱、光探测和测距(LiDAR)和合成孔径雷达传感器],这些先进的装置能够根据不同的应用要求动态地提供各种和大量的多式遥感图像,具有不同的空间、时间和光谱分辨率,从那时以来,进行多式遥感图像登记的研究具有极大的科学意义,这是将多式数据中的补充信息综合起来并对地球表面进行全面观测和分析的关键步骤,在这项工作中,我们将介绍我们自己对多式图像登记领域的贡献,概述现有多式图像登记方法的优点和局限性,然后讨论其余的挑战,并为该领域的未来发展提供前瞻性的前景。