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 …

This paper introduces an Unmanned Aerial Vehicle (UAV) image stitching method, based on
the optimal seam algorithm and half-projective warp, that can effectively retain the original …

Image matching between the optical and synthetic aperture radar (SAR) is one of the most
fundamental problems for earth observation. In recent years, many researchers have used …

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 …

Image stitching task targets to derive a large panoramic image for obtaining extensive
information. However, artifacts such as ghosting or geometric misalignment are inevitably …

Unmanned aerial vehicle (UAV) hyperspectral imaging has been extensively applied in
various fields. However, due to the limited imaging width, hyperspectral images (HSIs) …

Using digital images at present are increased rapidly in many fields such as in solving big
problems, with the extraordinary appearance of them in all areas of life, in medicine …

Hyperspectral images (HSIs) with both spatial and spectral information have found broad
applications. Since most cameras have narrow viewing angle, generating panoramic …

The miniaturization of hyperspectral cameras has opened a new path to capture spectral
information. One such camera, called the hybrid linescan camera, requires accurate control …

Due to various interferences from natural factors such as changes in the atmosphere and
varying illumination conditions, a common issue arises in hyperspectral (HS) imaging …