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一种小波变换融合的改进算法及其效果评价

Improved algorithm and effect evaluation of one kind of wavelet transform fusion

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【作者】 徐达翁卫松陈春雷

【Author】 Xu Da,Weng Weisong,Chen Chunlei(Center for Forest Resource Monitoring of Zhejiang Province,Hangzhou,Zhejiang 310020,China)

【机构】 浙江省森林资源监测中心

【摘要】 在基于传统小波变换的遥感影像融合中,仅用到低分辨率影像经小波分解后的低频信息和高分辨率影像经小波分解后的高频信息,简单地对高分辨率影像的低频信息进行舍弃。文章提出一种对高分辨率影像的低频信息也加以充分利用的小波变换融合规则改进算法,并应用于SPOT5遥感影像的融合。通过以客观指标为标准进行效果评价表明,改进算法后,融合影像不仅清晰度提高,而且能最大程度地保留原多光谱影像的光谱信息。

【Abstract】 In remote sensing image fusion based on the traditional wavelet transform,only the low frequency information of low resolution image and the high frequency information of high resolution image after wavelet decomposition are used to abandon simply low frequency information of high resolution images.In this paper,a kind of improved algorithm of the wavelet transform fusion rule is put forward by making full use of the low frequency information of high resolution image,which is applied to the SPOT5 remote sensing image fusion.Through fusion effect being evaluated on the basis of objective indicators,not only the resolution of fusion image based on improved algorithm is enhanced,but also the farthest spectral information of the original multispectral image is retained.

【基金】 948计划资助(2013-4-63)
  • 【分类号】TP391.41
  • 【被引频次】2
  • 【下载频次】41
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