Feature matching, which refers to establishing reliable correspondence between two sets of
features (particularly point features), is a critical prerequisite in feature-based registration. In …

Finding robust and correct keypoints in images remains a challenge, especially when
repetitive patterns are present. In this article, we propose a universal two-step filtering …

We present a generic unsupervised method to increase the discriminative power of image
vectors obtained from a broad family of deep neural networks for object retrieval. This goal is …

In this paper, we propose a new image registration method for synthetic aperture radar
(SAR) image with multiscale image patch features, in which the sparse representation …

Feature matching is the foundation and key task of remote sensing image registration, which
is to establish a reliable point corresponding relationship between the feature points of two …

With the aim to improve the performance of feature matching, we present an unsupervised
approach for adaptive description selection in the space of homographies. Inspired by the …

Feature matching plays a very important role in many computer vision and pattern
recognition tasks. The spatial neighborhood relationship (representing the topological …

Feature matching is critical in analyzing remote sensing images, aiming to find the optimal
mapping between correspondences. Regularization technology is essential to ensure the …

Re-ranking is an essential step for accurate image retrieval, due to its well-known power in
performance improvement. Although numerous works have been proposed for re-ranking …

Thermal drift of nano-computed tomography (CT) adversely affects the accurate
reconstruction of objects. However, feature-based reference scan correction methods are …