Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …

As with any data fusion task, the front-end of the pipeline for image fusion, aiming to collect
multitudinous physical properties from multimodal images taken by different types of …

Image matching plays a vital role in many computer vision tasks, and this paper focuses on
the mismatch removal problem of feature-based matching. We formulate the problem into a …

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 …

Feature matching, which aims at seeking dependable correspondences between two sets of
features, is of considerable significance to various vision-based tasks. This paper attempts to …

As a fundamental and critical task in feature-based remote sensing image registration,
feature matching refers to establishing reliable point correspondences from two images of …

Recovering camera pose from two-view images is a critical problem in photogrammetry and
computer vision. For complex scenarios, point correspondences that are constructed by off …

In this article, we present a feature-based remote sensing (RS) image matching method
termed progressive motion coherence (PMC). We formulate the matching problem into a …

Remote-sensing developments such as UAVs heighten the need for hyperspectral image
stitching techniques that can obtain information on a large area through various parts of the …

In this paper, we propose a Joint Representation Attention Network (JRA-Net), an end-to-
end network, to establish reliable correspondences for image pairs. The initial …