Geometric registration is often an accuracy assurance for most remote sensing image
processing and analysis, such as image mosaicking, image fusion, and time-series analysis …

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 …

Registration for multisensor or multimodal image pairs with a large degree of distortions is a
fundamental task for many remote sensing applications. To achieve accurate and low-cost …

Identifying feature correspondences between multimodal images is facing enormous
challenges because of the significant differences both in radiation and geometry. To address …

Co-registration of multimodal remote sensing (RS) images (eg, optical, infrared, LiDAR, and
SAR) is still an ongoing challenge because of nonlinear radiometric differences (NRD) and …

Infrared–visible image registration and fusion are closely related processes, and it is an
attractive problem to implement coordinated registration and fusion in a unified framework …

Severe nonlinear radiation distortion (NRD) is the bottleneck problem of multimodal image
matching. Although many efforts have been made in the past few years, such as the …

Multimodal image matching is a core basis for information fusion, change detection, and
image-based navigation. However, multimodal images may simultaneously suffer from …

Multimodal image matching suffers from severe geometric and nonlinear intensity distortion
(NID). Towards this problem, we propose a multimodal image matching algorithm based on …

Due to the complementary nature of optical and synthetic aperture radar (SAR) images, their
alignment is of increasing interest. However, due to the significant radiometric differences …