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Image Fusion for Remote Sensing Applications

2011, Image Fusion and Its Applications

Abstract
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AI

Image fusion techniques are essential for enhancing the utility of remote sensing data captured by satellites. By integrating high spatial resolution panchromatic images with multispectral images, the resulting hybrid products optimize visual information for distinct applications, such as urban and environmental studies. This paper discusses the methodologies for effective image fusion, addresses common challenges in maintaining spectral information while boosting spatial resolution, and presents findings through quantitative classification accuracy assessments, demonstrating improvement in target detection in complex urban environments.