A Statistical Approach to Multiresolution Image Fusion
نویسنده
چکیده
In remote sensing applications, lower spatial resolution multispectral images are fused with higher spatial resolution panchromatic ones. The objective of this fusion process is to enhance the spatial resolution of the multispectral images to make important features more apparent for human or machine perception. This enhancement is performed by injecting the high frequency component of the panchromatic image into the lower resolution ones without deteriorating the spectral component in the fused product. In this work, we propose a novel pixel based image fusion technique which exploits the statistical properties of the input images to compose the outcome images. Criteria for an optimal image fusion are proposed. The fused image is essentially constructed by using the statistical properties of panchromatic and multispectral images within a window to determine the weighting factors of the input images. This paper describes the principles of the proposed approach, assesses its properties and compares it with other popular fusion techniques. This study is carried out using Ikonos, QuickBird and SPOT images over areas with both urban and rural features. Analytical derivation, numerical analysis and graphic results are presented to support our discussions.
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