A typical multi-resolution satellite sensor is working in several multi-spectral modes as well as a panchromatic mode with a much higher spatial resolution. The integration of panchromatic data into the standard multispectral analysis is not a straightforward procedure. The additional image information of the panchromatic band in combination with the multi-spectral bands however, allows to retr...

Image fusion is a method for obtaining a highly informative image by merging the relative information of an object obtained from two or more image sources of the same scene. The satellite cameras give a single band panchromatic (PAN) image with high spatial information and multispectral (MS) image with more spectral information. The problem exists today is either PAN or MS image is available fr...

Image fusion in the field of remote sensing deals with combination of multispectral and panchromatic image. The idea of such combination is to derive best information out of it. A multispectral image is spectral rich whereas a panchromatic image is spatially sound so their combination gives better information in terms of best spatial and spectral parameters. This Paper aims at evaluating variou...

Many researchers are concerning with using powerful image processing tools to achieve high quality images for their applications. Recently, great interest has been arisen on using wavelet transforms [1-10] to analysis multi-resolution images and to fuse remote sensing images. Image fusion especially in remote sensing applications is one of the fields that growing continuously. Many methods have...

In this paper, we present an improved nonparametric Bayesian model based on a generalized metaphor of Chinese restaurant franchise (gCRF), which can take advantage of both panchromatic and multispectral images to obtain a classification map. There are two drawbacks in the gCRF when it is used to fuse panchromatic and multispectral image for classification, first, since superpixels which are obt...

Generally, image fusion methods are classified into three levels: pixel level (iconic), feature level (symbolic) and knowledge or decision level. In this paper we focus on iconic techniques for image fusion. Usually, image fusion techniques such as intensity-huesaturation (IHS) or Brovey are used to fuse high spatial resolution panchromatic and lower spatial resolution multispectral images that...

Most satellites decouple the acquisition of a panchromatic image at high spatial resolution from the acquisition of a multispectral image at lower spatial resolution. Pansharpening is a fusion technique used to increase the spatial resolution of the multispectral data while simultaneously preserving its spectral information. In this paper, we consider pansharpening as an optimization problem mi...

This article focuses on the image fusion of high-resolution panchromatic and multispectral images. We propose a new image fusion method based on a Hue-Saturation-Value (HSV) color space model and bidimensional empirical mode decomposition (BEMD), by integrating high-frequency component of panchromatic image into multispectral image and optimizing the BEMD in decreasing sifting time, simplifying...

An automatic process for relative registering and merging the panchromatic and multispectral images of SPOT5 is presented. The automated hierarchical local registration process makes use of feature information to select tie points from both images. The tie points are then used to refine the sensor model of the multispectral image by method of least squares solution. Both panchromatic and multis...

Mangrove stands of differing species composition are hard to distinguish in conventional, coarse resolution satellite images. The new generation of meter-level satellite imagery provides a unique opportunity to achieve this goal. In this study, an IKONOS Geo bundle image and a QuickBird Standard bundle image were acquired for a study area located at Punta Galeta on the Caribbean coast of Panama...