摘要
介绍了基于小波包变换和区域方差的遥感影像融合方法。利用IHS变换和小波包变换把全色影像和多光谱影像的相应分量分解为低频部分和高频部分,并分别采用加权平均法和区域方差法融合低频部分和高频部分,然后通过小波包重构和IHS逆变换得到最终的融合影像;最后采用MATLAB语言实现了这种方法。实验结果表明,这种方法在提高影像的清晰度、突出影像细节信息以及保留原始影像的光谱特征方面效果较好。
This paper introduced the fusion algorithm of remote sensing image based on IHS Transform and Wavelet Packet Transform. Using IHS Transform and Wavelet Packet Transform, the panchromatic image and the corresponding element of the multi -spectral image were decomposed approximate element and detail element, and the approximate element was fused by weight averaging method and the detail element was fused by region deviation method, and then through wavelet packet recomposition and inverse IHS transform,the fused image was obtained; at last, this method was realized using MATLAB. The result of the experiment showed that this algorithm has a better effect on improving the image definition, enhancing the image detail and preserving the spectral character of the original image.
出处
《测绘与空间地理信息》
2008年第5期131-133,137,共4页
Geomatics & Spatial Information Technology
关键词
IHS变换
小波包变换
影像融合
IHS Transform
Wavelet Packet Transform
image fusion
