关键词: 图像融合,非下采样Contourlet变换,局部特征 中图法分类号TP237.3文献标识码A

Abstract: We proposed a remote sensing image fusion method based on the local feature of NSCT coefficients according to the different fusion purpose of lowpass sub-band and highpass sub-bands decomposed from the multispectral and panchromatic images by using Nonsubsampled Contourlet Transform(NSCT)．Firstly,we decomposed the I component of multispectral image and qanchromatic image into multi-resolution representation by using NSCT．Then,in the lowpass sub-band,the method of selective weighted summation was used．In the highpass sub-bands,we employed the algorithm taking the larger absolute value of sub-band coefficients at the highest decomposition level,and the selective method by comparing the region variance of sub-band coefficients in a fixed region at other decomposition levels．Finally,consistency check was implemented for the fused coefficients of highpass sub-bands．The experimental results show that the fusion image not only keeps the spectrum information of source image well,but image resolution has been greatly improved compared to other fusion methods.

Key words: Image fusion,Nonsubsampled contourlet transform,Local feature