For the years 1997 to 2000 it is expected that a number of new satellites will be launched into orbit by private companies which are specified to deliver panchromatic imagery of the earth surface with a spatial resolution as fine as 1m. In contrast to the panchromatic band, the spectrally resolved bands will have a four times coarser ground resolution. Therefore, image fusion algorithms will be...

Pan-sharpening is also known as image fusion, resolution merge, image integration, and multi sensor data fusion has been widely applied to imaging sensors. The purpose of pan-sharpening is to fuse a low spatial resolution multispectral image with a higher resolution panchromatic image to produces an image with higher spectral and spatial resolution. In this paper, we investigated these existing...

This paper describes an approach to image fusion using the wavelet transform. When images are merged in wavelet space, we can process different frequency ranges differently. For example, high frequency information from one image can be combined with lower frequency information from another, for performing edge enhancement. We have built a prototype system that allows experimentation with variou...

At present time image fusion is widely recognized as an important tool and has attracted a great deal of attention from the research community with the purpose of searching general formal solutions to a number of problems in different applications such as medical imaging, optical microscopy, remote sensing, computer vision and robotics. Image fusion consists of combining information from two or...

Remote sensing image fusion is a key technique to fuse low spatial resolution multispectral (MS) images with high panchromatic (PAN) obtain (HRMS) images. However, many existing algorithms typically perform single upsampling on the MS match its that of PAN image, and subsequently output fused through steps feature extraction, fusion, decoding. This single-stage approach not only fails fully uti...

Medical imaging has emerged as one of the most important tools to identify as well as diagnose various disorders. The main objective of medical imaging is to obtain high resolution image details as with as much details as possible for correct diagnosis. There are several medical imaging techniques such as MRI and CT imaging techniques. Both give special sophisticated characteristics of the orga...

Wavelet Transforms can be used for multi-resolution image fusion at pixel level, as they work both in spatial and spectral domains and result in the preservation of spatial of spectral details of input images. Different wavelet transform algorithms have been developed and applied to a variety of applications such as noise suppression, filtering, image restoration, image compression, and astrono...

We propose an information fusion method for the extraction of land-use information based on both the panchromatic and multispectral Indian Remote Sensing Satellite 1C (IRS-1C) satellite imagery. It integrates spectral, spatial and structural information existing in the image. A thematic map was first produced with a maximum-likelihood classification (MLC) applied to the multispectral imagery. P...

This paper deals with different techniques for registration and fusion of remote sensed images. In this work the lower spatial resolution multispectral and higher resolution panchromatic images of SPOT satellite are used. These images are registered using a registration algorithm that combines a simple yet powerful search strategy based on stochastic gradient with the similarity measure as mutu...

Image fusion is a process by combining two or more source images from different modalities or instruments into a single image with more information. The successful fusion is of great importance in many applications, such as military, remote sensing, computer vision and medical imaging, et al. Image fusion can be performed at signal, pixel, feature and symbol levels depending on the representati...