Abstract
Image fusion is the process of combining information from two or more images of a scene into single composite image that is more informative and more suitable for visual perception or computer processing. Given the same set of the input images, different images may be created depending on the specific application and what is considered relevant information. High resolution panchromatic (Pan) images provide better spatial quality compared to multispectral (MS) images. However MS images provide better spectral quality compared to Pan image. Objectif recognition and extraction of urban features require methods to integrate complementary data sets such as PAN and MS. Many pixel- based image fusion techniques have been developed to combine the spatial and spectral characteristics of Pan and MS images in synthesized MS images.
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