Pansharpening is a process of fusing the spatial detail of a high-resolution panchromatic
(Pan) image and the spectral information of a low-resolution multispectral (MS) image to …

The nonoverlapped spectrum range between low spatial resolution (LR) hyperspectral (HS)
and high spatial resolution (HR) multispectral (MS) images has been a fundamental but …

The joint analysis of thermal and visible light images of plants can help to increase the
accuracy of early disease detection. Registration of thermal and visible light images is an …

The component substitution (CS) scheme is one of the most efficient models used by
different image fusion algorithms when merging multispectral and panchromatic images …

An image fusion method must ideally preserve both the detail of the panchromatic image
and the color of the multispectral image. Existing image fusion methods incur the gamut …

Monitoring evapotranspiration (ET) is possible through land surface temperature (LST)
measured by satellites and unmanned aerial vehicles (UAV). The assumption that the higher …

The issue of infrared polarization and intensity images fusion has shown important value in
both military and civilian areas. In this paper, a novel fusion approach is addressed by …

In this letter we propose a variational approach for concurrent image fusion and denoising of
multifocus images, based on error estimation theory and Partial Differential Equations …

This paper presents a new fusion method based on the adaptive multi-scale decomposition
of bidimensional empirical mode decomposition (BEMD) and the flexible directional …

Empirical mode decomposition (EMD) is good at analyzing nonstationary and nonlinear
signals while support vector machines (SVMs) are widely used for classification. In this …