多光谱和全色卫星图像在环境问题中的融合

A. Karagianni, M. Lazaridou
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引用次数: 2

摘要

采用多光谱与全色卫星图像的图像融合技术,将高空间分辨率全色图像的空间细节与低分辨率多光谱图像的光谱信息相结合,合成多光谱高分辨率图像。这个过程被称为泛锐化,产生的图像,除其他外,提高了视觉质量和视觉解释能力。这些改进在研究环境问题时特别有用。大量的核聚变技术已经在不同的层次上得到了发展。本文包括对某些像素级融合技术的关键考虑,以及Landsat 8卫星全色和多光谱卫星图像融合的相关示例。
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Fusion of Multispectral and Panchromatic Satellite Images in Environmental Issues
Image fusion of multispectral and panchromatic satellite image is used to combine spatial detail of the panchromatic image of high spatial resolution and spectral information of multispectral image of low resolution, in order to create a synthetic multispectral high-resolution image. This process is called pansharpening and the resulting image, has among others, improved visual quality and visual interpretation capabilities. These improvements are particularly useful in studying environmental issues. A large number of fusion techniques have been developed at various levels. This paper includes a critical consideration of certain fusion techniques at pixel level, as well as a relevant example of panchromatic and multispectral satellite image fusion of satellite Landsat 8.
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