This paper presents a deep learning-based pansharpening method for fusion of
panchromatic and multispectral images in remote sensing applications. This method can be …

Modern Remote Sensing (RS) technologies have emerged and picked up a substantial
momentum as a valuable source of data for environmental, economic, and social …

Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic)
and spectral (multispectral) images that are captured by different sensors on satellites. This …

Imaging Satellites acquire multispectral images, MI s, in low resolution, LR, and
panchromatic images, PAN s, in high resolution, HR, due to some advantages provided in …

This paper presents a generative model method for multispectral image fusion in remote
sensing which involves training without supervision. This method eases the supervision of …

In this paper, a novel improvement applies to the Band-Dependent Spatial Detail (BDSD)
fusion structure to enhance the detection procedure of electric vehicle location. The …

Panchromatic and multi-spectral image fusion, called panchromatic sharpening, is the
process of combining the spatial and spectral information of the source image into the fused …

The remote sensed satellite images are big repository of information and provide the
coverage of large areas. However, these images may not be able to describe the finer …

This family of pansharpening or fusion algorithms uses the projection of a MS image into
some other domain, with the idea that this transformation separates the spatial data from the …

A novel multispectral image fusion technique is proposed which minimizes the spectral loss
of fused product using a proper objective function. It is found that the Relative Average …