摘要
在分析IHS法和高通滤波法图像融合算法优缺点的基础上,提出了一种基于IHS变换的高通滤波影像融合方法。该算法先对多光谱图像IHS变换的I分量进行低通滤波,然后对与I分量进行直方图匹配的全色图像进行高通滤波,接着合成低通滤波和高通滤波的结果作为新的I分量,最后进行IHS逆变换得到融合图像。通过与IHS法与高通滤波法的融合结果进行对比评价,表明了该方法在保持光谱信息上和提高多光谱的空间信息能力上都有很好的效果。
After analyzing the advantages and disadvantages of the theory and algorithms of IHS method and high pass filter method,this paper put forward a high pass filter method for image fusion based on IHS transformation.The algorithm first filtered the component I obtained by IHS transforming of multi-spectral image by low pass filter and filtered the component I obtained by histogram matching of panchromatic image by filtering high pass filter,then fused the results of low pass filter and high pass filter to form a new component I and reconstructed the merged image after IHS inversion.After comparing and evaluating on the fusion result of IHS method and high pass filter method,it showed that the algorithm was more efficient in preserving spectral information and improving spatial information of multi-spectrum.
出处
《测绘与空间地理信息》
2010年第5期144-146,151,共4页
Geomatics & Spatial Information Technology
关键词
IHS变换
高通滤波
图像融合
光谱保持
IHS transform
high pass filter
image fusion
spectral preservation
