一种自适应模糊密度赋值的小波变换遥感图像融合算法
doi: 10.3724/SP.J.1146.2006.00679
Remote-Sensed Images Fusion Using Fuzzy Density Determined Adaptively Based on Wavelet Transform
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摘要: 该文提出了一种基于模糊积分的多光谱图像和全色遥感图像融合算法。该算法首先由多光谱图像和全色图像的小波系数来获取模糊积分的信度函数，再依据小波系数的局部窗口内的方差自适应的构造模糊密度，然后由模糊积分计算融合后的小波系数，最后进行小波逆变换，得到融合图像。实验表明，采用新的基于模糊积分的融合方法，只要选择适当的模糊密度，就可以使得融合图像在提高空间细节质量的同时，相比其它融合算法能够具有更好的光谱质量。Abstract: This paper proposes a fused algorithm based on fuzzy integral. This method firstly obtains belief function using the wavelet coefficient of multispectral images and panchromatic images ,then constructs fuzzy density adaptively using the deviation of local window of wavelet coefficient, moreover obtains fused wavelet coefficient by fuzzy integral, finally obtains fused image by inverse wavelet transform. The experiment shows that while the developed method can keep spectral quality of fused image, it can update the spatial detail quality of fused image when appropriate fuzzy density is chosen.
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