High-dimensional spectral imageries obtained from multispectral, hyperspectral or even
ultraspectral bands generally provide complementary characteristics and analyzable …

It is a tough challenge to find a remote sensing image fusion method which can acquire
spatial and spectral information as much as possible from panchromatic (PAN) image and …

The aim of multimodal image fusion is to enhance the perception of a scene by combining
prominent features of images captured by different sensors. Using joint sparse subspace …

A self-adaptive image fusion method using multi-resolution analysis is proposed, in which
multi-spectral (TM) and SAR images are fused. Firstly, we convert TM images from RGB to …

In this paper, a new fusion rule based on a pulse coupled neural network (PCNN) and the
clarity of images is proposed for multi-band synthetic aperture radar (SAR) image fusion. By …

In this paper, a novel algorithm of remote sensing image fusion based on statistical model is
presented. The main research goal of this study is to explore a new technique for remote …

As we complete two volumes of our journal, and begin another, I would like to take a
moment to wish all our readers, authors and Editorial Board Members a very happy New …

Image fusion of multi-spectral images and panchromatic images has been widely applied to
imaging sensors. Multi-spectral images are rich in spectral information whereas …

Image fusion is a useful tool for integrating low spatial resolution multispectral (MS) images
with a high spatial resolution panchromatic (PAN) image, thus producing a high resolution …

In this paper, an adjustable model-based image fusion method for multispectral (MS) and
panchromatic (PAN) images is developed. The relationships of the desired high spatial …