基于HSI和Contourlet变换的多光谱与全色图像融合方法

Mengxin Song, Xinyu Chen, Ping Guo
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引用次数: 14

摘要

多光谱与全色遥感图像的融合是在保持多光谱图像的光谱信息的同时,获得全色图像的空间分辨率和质量的过程。本文提出了一种基于HSI (Hue-Saturation-Intensity)和Contourlet变换的图像融合方法。首先,我们将多光谱图像从RGB色彩空间转换为HSI色彩空间。然后,通过对全色图像和多光谱图像的I分量进行Contourlet变换,对低频子图像采用改进的基于PCA的融合规则,对高频子图像采用最大融合规则;最后,通过HSI逆变换得到融合图像。实验结果表明,该融合方法不仅提高了融合图像的空间分辨率,而且保留了原始多光谱图像的光谱信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fusion method for multispectral and panchromatic images based on HSI and Contourlet transformation
Fusion of multispectral and panchromatic remote sensing images is a procedure to obtain spatial resolution and quality of the panchromatic image as well as preserving spectral information of the multispectral image. In this paper, we present a new fusion method based on HSI (Hue-Saturation-Intensity) and Contourlet transform. First, we convert the multispectral image from the RGB color space into the HSI color space. Then, by applying Contourlet transform to the panchromatic image and the I component of the multispectral image, we utilize an improved fusion rule based on PCA for the low-frequency sub-images, and engage the maximum fusion rule for the high-frequency sub-images. Finally, a fusion image is obtained by the inverse HSI transform. The experimental results show that the proposed fusion method not only enhances the spatial resolution of the fusion image, but also preserves the spectral information of the original multispectral image.
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