基于IHS变换和Haar小波的全色和多光谱图像融合

A. Hamed, Amna Al-Safar, N. A. Taha
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引用次数: 3

摘要

从两个或多个输入图像中整合互补细节的技术称为图像融合。融合图像信息量更大,比任何原始输入图像都更完整。本文阐述了高分辨率全色(Pan)和多光谱(MS)卫星图像融合技术的实现和评价。结合IHS和Haar小波变换,提出了一种融合低分辨率图像的Pan和MS的新算法。首先,分别用IHS变换和Haar小波变换对经典融合进行了阐述。其次,提出了两种方法相结合的新策略。利用均方误差和峰值信噪比等评价参数对该方法的性能进行了评价。实验结果表明,该算法比基于IHS变换的经典融合算法具有更高的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Panchromatic and Multispectral Image Fusion by Combining IHS Transform and Haar Wavelet
The technique of integrate complimentary details from two or more input images is known as image fusion. The fusion image is more informational and will be complete more than any of the original input images. This paper Illustrates implementation and evaluation of fusion techniques used on the Satellite images a high-resolution Panchromatic (Pan) and Multispectral (MS). A new algorithm is proposed to fuse a Pan and MS of the lowresolution images based on combining IHS and Haar wavelet transform.Firstly, this paper clarifies the classical fusion by using IHS transform and Haar wavelet transform individually. Secondly proposition new strategy of combining the two methods. Performance of the proposed method is evaluated with the help of assessment parameter such as Mean Square Error and Peak Signal to Noise Ratio. Experiment results shows that the proposed algorithm has higher performance than the classical fusion by IHS transform.
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