1. ABSTRACT In this paper we propose a model-based approach for multiresolution fusion of remotely sensed images. Given a high spatial resolution & low spectral resolution PAN (Panchromatic) image and a low spatial resolution & high spectral resolution MS (Multispectral) images of the same geographical area, the objective is to enhance the spatial resolution of the MS images to that of the PAN ...

This work presents a general and formal solution to the problem of fusion of a multi-spectral (MS) image with a higher-resolution panchromatic (P) observation. The method relies on the generalised Laplacian pyramid, which is an over-sampled structure obtained by subtracting from an image its low-pass version. The goal is to selectively performs spatial-frequencies spectrum substitution from an ...

There exist a number of satellites on different earth observation platforms, which provide multispectral images together with a panchromatic image, that is, an image containing reflectance data representative of a wide range of bands and wavelengths. Pansharpening is a pixel-level fusion technique used to increase the spatial resolution of the multispectral image while simultaneously preserving...

To verify the features of an object or an area, there is a need to merge panchromatic images with high spatial resolution and multispectral images with high spectral resolution. Standard fusion methods like IHS transform are not satisfactory, because they distort spectral characteristics of the multispectral data. In wavelet methods, the aim is to decompose the image into subbands, which have t...

Melissa Strait, Sheida Rahmani, Daria Markurjev Faculty Advisor: Todd Wittman UCLA Department of Mathematics August 2008 Abstract Pan-sharpening combines a low-resolution color multispectral image with a high-resolution grayscale panchromatic image to create a high-resolution fused color image. In this paper we examine five different pan-sharpening methods: IHS, PCA, Wavelet fusion, P+XS, and V...

The amount and variety of remote sensing imagery of varying spatial resolution is continuously increasing and techniques for merging images of different spatial and spectral resolution became widely accepted in practice. This practice, known as data fusion, is designed to enhance the spatial resolution of multispectral images by merging a relatively coarse-resolution image with a higher resolut...

This paper presents a comparison of the most frequently used method RGB-IHS for fusion of Landsat 7 ETM+ multi-resolution bands with an approach based on introducing some textural coefficients issued from panchromatic band. The commonly used transformation RGB-IHS with the substitution of Intensity component by Panchro band leads to color alteration and changes of statistics of the input RGB co...