As the remote sensing image fusion algorithm based on non-subsampled contourlet transform(NSCT) has high calculation complexity and can not extract details from source images effectively,a new multi-feature remote sensing image fusion algorithm based on NSST transform and adaptive PCNN is proposed.Firstly,intensity component V of multi-spectral image is extracted by HSV transform,and the intensity component V and PAN image are decomposed by NSST.Secondly,for the low frequency sub-band,an adaptive PCNN fusion rule is presented,regional average gradient is utilized as the linking intensity,and a modified spatial frequency is adopted as the input to motivate PCNN.For the high frequency sub-band,a fusion rule based on the multi-feature is employed.Finally,the fused images are obtained by inverse NSST transform and inverse HSV transform.The experimental results show that compared with classical remote sensing image fusion algorithms,the proposed fusion algorithm can improve the quality of the fused image,and has the better performance in visual effect and objective evaluation metrics.