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一种IHS变换图像融合法的改进算法
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2009-06-06
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本文提出了一种新的基于IHS 变换、加权平均与均值滤波的图像融合方法，旨在增强融合图像的多光谱彩色信息并能保留传统IHS 变换融合法的运算快速的优点。通过实验数据的对比和分析证明新的改进方法在保留多光谱图像的色彩信息方面有明显提高。
关键词: IHS；加权平均；均值滤波；图像融合；遥感
Image Fusion Based on Weighted Average, Mean Filtering and IHS Transform
CHANG Hua-wen, CHEN Chun-xiang （Department of Electronics and Computer Science, Guilin Institute of Technology, Guilin 541004, China） Abstract: In this paper, a new image fusion method which is based on weighted average, mean filtering and IHS Transform is proposed. The aim of this image fusion technique is reducing the loss of multi-spectral information in the process of image fusion based on ordinary IHS transform. Furthermore, the new method should keep simple. The results of experimentation have proved that this improvement of ordinary IHS transform is more effective.
Key words: IHS; Weighted Average; Mean Filtering; Image Fusion; Remote Sensing
关键词: IHS；加权平均；均值滤波；图像融合；遥感
Image Fusion Based on Weighted Average, Mean Filtering and IHS Transform
CHANG Hua-wen, CHEN Chun-xiang （Department of Electronics and Computer Science, Guilin Institute of Technology, Guilin 541004, China） Abstract: In this paper, a new image fusion method which is based on weighted average, mean filtering and IHS Transform is proposed. The aim of this image fusion technique is reducing the loss of multi-spectral information in the process of image fusion based on ordinary IHS transform. Furthermore, the new method should keep simple. The results of experimentation have proved that this improvement of ordinary IHS transform is more effective.
Key words: IHS; Weighted Average; Mean Filtering; Image Fusion; Remote Sensing
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