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 the penetration of solar energy generation into power systems keeps rising, intra-hour
solar forecasting (IHSF) is becoming increasingly important for the secure and economical …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

Traditional feature matching methods, such as scale-invariant feature transform (SIFT),
usually use image intensity or gradient information to detect and describe feature points; …

The monitoring of coastal wetlands is of great importance to the protection of marine and
terrestrial ecosystems. However, due to the complex environment, severe vegetation …

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 …

Many important eye diseases as well as systemic diseases manifest themselves in the
retina. While a number of other anatomical structures contribute to the process of vision, this …

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

Recently, medical image registration and fusion processes are considered as a valuable
assistant for the medical experts. The role of these processes arises from their ability to help …

Image matching based on local invariant features is crucial for many photogrammetric and
remote sensing applications such as image registration and image mosaicking. In this …