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 speciied to deliver panchromatic imagery of the earth surface with a spatial resolution as ne as 1 m. In contrast to the panchromatic band, the spectrally resolved bands will have a four times coarser ground resolution. Therefore, image fusion algorithms will cert...

The most difficult task in the segmentation of the image is to obtain the segmentation by avoiding almost all the noises within less span of time. The AMG is used for increasing the time step and SFM will be used in decreasing the computation domain. In this technique the number of iterations will be less when compared to the existing systems. The integration of medical images with multimodal M...

An approach to the combined extraction of linear as well as areal objects from multisensor image data based on a featureand object-level fusion is proposed. Data sources are high-resolution panchromatic digital orthoimages, multispectral image data, and interferometric SAR data. Rural test areas consisting of a road network, agricultural fields, and small villages were investigated. Road networ...

the fusion of medical images is very useful for clinical application. generally, the pet image indicates the function of tissue and the mri image shows the anatomy of tissue. in this article we fused mri and pet images and the purpose is adding structural information from mri to pet image. the images decomposed with curvelet transform, and then two images fused with applying fusion rules. we us...

The standard data fusion methods may not be satisfactory to merge a high-resolution panchromatic image and a low-resolution multispectral image because they can distort the spectral characteristics of the multispectral data. In this paper, we developed a technique, based on multiresolution wavelet decomposition, for the merging and data fusion of such images. The method presented here consists ...

Several methods exist to combine a panchromatic image of high spatial resolution with lower resolution multispectral imagery. Of particular interest are those methods designed to simulate real multispectral images having the spatial resolution of a panchromatic image. To help justify an algorithm over another one, quantitative evaluation of the quality of a fused image is necessary. In most cas...

Various and different methods can be used to produce high-resolution multispectral images from high-resolution panchromatic image (PAN) and low-resolution multispectral images (MS), mostly on the pixel level. However, the jury is still out on the benefits of a fused image compared to its original images. There is also a lack of measures for assessing the objective quality of the spatial resolut...

Abstract— In this paper, we present feedback retina model combined with IHS model for fusion of multispectral (SPOT) and panchromatic (IKONOS) images. Multispectral images are limited by low spatial resolution. So, combining of lowresolution multi-spectral and high-resolution panchromatic images is a way for improving the spatial quality of multispectral images. An ideal fusion process preserve...

Image fusion is an important tool in remote sensing, as many Earth observation satellites provide both high-resolution panchromatic and low-resolution multispectral images. To date, many image fusion techniques have been developed. However, the available algorithms can hardly produce a satisfactory fusion result for IKONOS and QuickBird images. Among the existing fusion algorithms, the IHS tech...