一种基于Choquet模糊积分小波系数选择的遥感图像融合方法

Remote sensing images fusion based on wavelet coefficients selection using choquet fuzzy integral

为较好地保留多光谱、高分辨率遥感影像融合时的光谱信息和高分辨率信息,在小波变换基础上提出了一种基于模糊积分的融合算法,其基本思想是在IHS空间,对强度分量I及高分辨率图像进行小波分解后,保留I分量的低频系数,对于高频细节特征,将局部窗口内的方差、平均梯度和能量当作单因素指标,应用Choquet模糊积分综合各单因素指标得到一个综合指标,并据此来选取小波系数。实验结果表明,该算法在光谱质量改善方面明显优于IHS以及一些经典的小波变换遥感图像融合算法,是一种有效的遥感图像融合算法。

In order to decrease the spectral distortion while improving the spatial resolution during the fusion of remote sensing images, an image fusion method based on Choquet fuzzy integral is proposed in this paper. Firstly, an intensity-hue-saturation （IHS） transform is performed for multispectral images. Then the panchromatic image and the intensity component of multispectral images are decomposed using discrete wavelet transform respectively. In the wavelet domain, for the low-frequency component, the wavelet coefficients of the I component are selected directly. For the high-frequency component, the wavelet coefficients are selected according to an integrative index which is colligated with the values of variation, average gradient and energy in the local region by Choquet fuzzy integral. Further, the fused intensity component is obtained by inverse discrete wavelet transform. Finally, the fused images are obtained by inverse IHS transform. The experiment results demonstrate our proposed method effectively.