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《Computer Science》 2014-03
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Remote Sensing Image Fusion Method Based on Local Feature of Nonsubsampled Contourlet Coefficients

BAO Cheng-hui;ZHU Kang;HE Xin-guang;College of Resource and Environment Science,Hunan Normal University;  
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.
【Fund】: 湖南省自然科学基金项目(11JJ3057);; 湖南省“十二五”重点学科地理学资助
【CateGory Index】: TP751
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