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Image Fusion Based on IHS Transform and Principal Component Analysis (PCA) Transform

机译:基于IHS变换和主成分分析(PCA)变换的图像融合

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摘要

This paper makes researches on image fusion method based on IHS transformation and principal component analysis (PCA) transformation. According to the advantages and disadvantages of the fusion algorithm based on IHS transform and the fusion algorithm based on PCA transform, it proposes the combination of the two algorithms. The analysis of the experimental data shows that the improved algorithm is better than the original fusion algorithm based on IHS transform and fusion algorithm based on PCA transform.
机译:本文对基于IHS变换和主成分分析(PCA)变换的图像融合方法进行了研究。针对基于IHS变换的融合算法和基于PCA变换的融合算法的优缺点,提出了两种算法的结合。实验数据分析表明,改进算法优于基于IHS变换的原始融合算法和基于PCA变换的融合算法。

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