Automatic registration of multimodal remote sensing data [eg, optical, light detection and
ranging (LiDAR), and synthetic aperture radar (SAR)] is a challenging task due to the …

Image registration is an important technique in many computer vision applications such as
image fusion, image retrieval, object tracking, face recognition, change detection and so on …

In this article, we propose an automatic and efficient method to solve optical and synthetic
aperture radar (SAR) image registration using the improved phase congruency (PC) model …

Multimodal remote sensing images with large rotation transformation (RT) are challenging to
be registered. It needs to deal with the global geometric deformation caused by great RT …

Phase correlation (PC), an efficient frequency-domain registration method, has been
extensively used in remote sensing images owing to its subpixel accuracy and robustness to …

Due to the large differences between different imaging sensors, multisensor remote sensing
image registration is a challenging work. Multisensor remote sensing image registration can …

Co-registration of aerial imagery and Light Detection and Ranging (LiDAR) data is quite
challenging because the different imaging mechanisms produce significant geometric and …

Medical imaging sensors, such as positron emission tomography and single-photon
emission computed tomography, can provide rich information, but each has its inherent …

Feature matching is a fundamental problem in feature-based remote sensing image
registration. Due to the ground relief variations and imaging viewpoint changes, remote …

Owing to significant geometric distortions and illumination differences, high precision and
robust matching of multisource remote sensing images is a difficult task. To solve this …