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一种基于Choquet模糊积分小波系数选择的遥感图像融合方法
引用本文:凌静,徐立中,石爱业,黄凤辰,汤敏.一种基于Choquet模糊积分小波系数选择的遥感图像融合方法[J].遥感学报,2009,13(2):263-268.
作者姓名:凌静  徐立中  石爱业  黄凤辰  汤敏
作者单位:河海大学,计算机及信息工程学院,江苏,南京,210098
基金项目:国家自然科学基金,教育部科学技术研究重点项目,教育部高等学校博士学科点专项科研基金 
摘    要: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.

关 键 词:遥感图像融合  小波变换  模糊积分  IHS变换

Remote sensing images fusion based on wavelet coefficients selection using choquet fuzzy integral
LING Jing,XU Li-zhong,SHI Ai-ye,HUANG Feng-chen and TANG Min.Remote sensing images fusion based on wavelet coefficients selection using choquet fuzzy integral[J].Journal of Remote Sensing,2009,13(2):263-268.
Authors:LING Jing  XU Li-zhong  SHI Ai-ye  HUANG Feng-chen and TANG Min
Abstract: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 formultispectral images. Then the panchromatic image and the intensity componentofmultispectral images are decomposed using discretewavelet transform respectively. In thewaveletdomain, for the low-frequency componen,t the aveletcoefficients of theIcomponentare selected directly. For thehigh-frequency componen,t thewaveletcoefficients are selected according to an integrative indexwhich is colligatedwith the values ofvariation, average gradientand energy in the local region by hoquet fuzzy integra.l Further, the fused intensity component is obtained by inverse discretewavelet transform. Finally, the fused images are obtained by inverse IHS transform. The experiment results demonstrate ourproposedmethod effectively.
Keywords:remote sensing images fusion  wavelet transform  fuzzy integral  IHS transform
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