Deep learning methods have achieved great success in analyzing traditional data such as
texts, sounds, images and videos. More and more research works are carrying out to extend …

Image registration is a fundamental task in image analysis in which the transform that moves
the coordinate system of one image to another is calculated. Registration of multi-modal …

In this paper, a novel remote sensing image registration method based on phase
congruency (PC) and spatial constraint is proposed. PC can provide intrinsic and …

In the last several decades, application of affine transformation and optimization approaches
have received enough attention in the domain of monomodal/multimodal image registration …

Convolutional neural networks (CNNs) have achieved state-of-the-art performance in
hyperspectral images (HSIs) classification, which is widely used for the analysis of remotely …

On-orbit space technology is used for tasks such as the relative navigation of non-
cooperative targets, rendezvous and docking, on-orbit assembly, and space debris removal …

Medical image registration is a preprocessing stage in a variety of applications such as
change detection and mosaicking. Matching is one of the essential steps in image …

Abstract Anterior Chamber Angle (ACA) assessment plays an important role for the
diagnosis of glaucoma. Most of the existing techniques relied on Anterior Segment Optical …

In practical iris applications, the obtained iris images are inevitably affected by noises
brought by uneven illumination, off-angle view, eyelids, and eyelashes etc. Such influences …

Direction-of-arrival (DOA) estimation plays an important role in array signal processing, and
the Estimating Signal Parameter via Rotational Invariance Techniques (ESPRIT) algorithm is …