Pan-sharpening aims to sharpen a low spatial resolution multispectral (MS) image by combining the spatial detail information extracted from a panchromatic (PAN) image. An effective pan-sharpening method should produce a high spatial resolution MS image while preserving more spectral information. Unlike traditional intensity-hue-saturation (IHS)and principal component analysis (PCA)-based multis...

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 multispectral image for better understanding of the observed earth surface. It has has become an important issue for various remotes sensing (RS) problems such as land classification, change detection, object ide...

Multiresolution and multispectral image fusion (pan-sharpening) requires proper assessment of spectral consistency but also spatial consistency. Many fusion methods resulting in perfect spectral consistency may leak spatial consistency and vice versa, therefore a proper assessment of both spectral and spatial consistency is required. Up to now, only a few approaches were proposed for spatial co...

Á trous wavelet transform (AWT) and empirical mode decomposition (EMD) are two distinct methods used for analyzing nonlinear and nonstationary signals. In this paper, a combination of AWT and EMD is proposed as an improvedmethod for fusing remote sensing images on the basis of the framework of AWT-based image fusion. The principle consists of performing a multiresolution decomposition on high r...

Introduction: Image fusion involves integrating elements from two or more characteristically different, multi-sensor, and/or multi-temporal images to create a new image that relays more information than the component images provide. In Earth-based remote sensing, image fusion is employed to enhance the spatial resolution of a multi-spectral (MS) image by integrating the MS spectral content with...

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...

In this paper, a new multispectral image wavelet representation is introduced, based on multiscale fundamental forms. This representation describes gradient information of multispectral images in a multiresolution framework. The representation is in particular extremely suited for the fusion and merging of multispectral images. For fusion as well as for merging, a strategy is described. Experim...