Remote sensing image fusion based on an improved NSCT and IHS transformation

Liu Hui; Zhou Kefa; Wang Jinlin; Wang Shanshan

doi:10.11834/jig.20140219

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Remote sensing image fusion based on an improved NSCT and IHS transformation
Vol. 19, Issue 2, Pages: 322-327(2014)
Published Online：28 January 2014，

Published：2014
DOI： 10.11834/jig.20140219
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DOI：

Liu Hui, Zhou Kefa, Wang Jinlin, Wang Shanshan. Remote sensing image fusion based on an improved NSCT and IHS transformation[J]. Journal of Image and Graphics, 2014, 19(2): 322-327. DOI： 10.11834/jig.20140219.

摘要

目的为了增强多光谱和全色影像融合质量，提出基于脉冲耦合神经网络（PCNN）的非下采样Contoulet变换（NSCT）和IHS变换相结合的融合方法。先对多光谱图像进行IHS变换提取亮度I分量，采用主成分分析增强I分量得到新的I分量；然后通过NSCT变换分别对I分量和全色图像进行分解，并采用边缘梯度信息激励的PCNN得到融合图像的低频和高频分量；最后进行NSCT逆变换、IHS逆变换得到融合图像。利用资源一号02C卫星数据进行实验，结果表明该算法在保留光谱信息的同时提高了图像空间分辨率，获得了较好的融合效果。结合NSCT和IHS变换的融合方法在视觉效果和客观评价指标上都优于常用的图像融合方法。

Abstract

In order to improve the quality of the multispectral and panchromatic satellite images fusion

a method to combine the non-subsampled contourlet transform (NSCT) based on the pulse coupled neural network (PCNN) with the IHS (intensity-hue-saturation) transformation is proposed. First

the IHS transformation of the multispectral images is conducted to extract the I component.Then it is enhanced using the Principal Component Analysis to gaina new component I; Second

the panchromatic image and the Icomponent are decomposed by NSCT and then the edge gradient information is used to trigger on the PCNN to obtain the coefficient of the low-frequencies and high-frequencies of the fusion images; Finally

a fused imagecan be obtained by taking the inversed NSCT and inversed IHS to reconstruct the images. Experimental results on the ZY-I0 2C satellite data show that the proposed method can improve the spatial resolution while preserving spectral information

and obtain better fusion effect. The fusion method based on NSCT and IHS transformhas has more advantage than the common image fusion methods in the aspects of visual effect and objective evaluation.