关键词: 图像融合, 非下采样Contourlet变换, 物理特征, HIS变换

Abstract: Based on the properties of NSCT，multi-scale，multi-directional expansion，multi-resolution analysis and shift invariant，with the fusion problem of SAR and color visible images，a multisensor fusion algorithm using NSCT and HIS transform is presented.In the experiment，the ku-band SAR and color visible images under the same scenario are used to validate this algorithm.The selection principles of the low frequency subband coefficients and bandpass directional subband coefficients are discussed respectively.For the low frequency subband coefficients，a“weighted averaging”scheme based on the physical features of SAR images and color visible images is presented；while for the bandpass directional subband coefficients，a selection principle based on the absolute value of selected major is developed.Evaluation of experimental results according to both the subjective and objective criteria，including the entropy，average，correlation coefficient，deviation index and cross entropy，demonstrates that algorithms grounded on the NSCT are more effective.

Key words: image fusion, Nonsubsampled Contourlet Transform（NSCT）, physical feature, HIS transform