Remote-Sensed Images Fusion Using Fuzzy Density Determined Adaptively Based on Wavelet Transform
一种自适应模糊密度赋值的小波变换遥感图像融合算法

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.