宁夏大学学报（自然科学版）2012，Vol.33Issue(1)：20-24,5.
基于多尺度局部对比度和限邻域经验模式分解的遥感图像融合方法
Remote Sensing Image Fusion Based on Multi-scale Local Contrast and Neighborhood Limited Empirical Mode Decomposition
摘要
Abstract
Generally,when one decomposes image using traditional 2D EMD (empirical mode decomposition) to obtain IMFs (intrinsic mode functions), there are gray spots in these IMFs, which resulting from existing overshoot in the average envelope of image. To overcome it, a NLEMD (neighborhood limited empirical mode decomposition) is improved in this paper, a stationary characteristic of local average distribution is used to acquire optimal local average of image, moreover, extracting average envelope of image. Comparing with traditional 2D EMD, it not only overcomes the overshoot, but also decreases time complexity of 2D EMD. Combination with the fact that human vision system is sensitive to local contrast, a remote sensing image fusion algorithm using multi-scale local contrast and NLEMD is presented in this paper. Fusing IMFs based on multi-scale local contrast of IMFs. Experiments show the fusion algorithm can obtain fusion image with more image sharpness and more image quality.关键词
经验模式分解/限邻域/局部均值平稳/图像融合Key words
empirical mode decomposition(EMD)/ neighborhood limit(NL)/ local average stationary/ im-age fusion分类
建筑与水利引用本文复制引用
龙亚,姜传贤,羊四清,杨铁军..基于多尺度局部对比度和限邻域经验模式分解的遥感图像融合方法[J].宁夏大学学报（自然科学版）,2012,33(1):20-24,5.基金项目
广西自然科学基金资助项目(2011GXNSFB018067) （2011GXNSFB018067）
湖南省科技厅科技计划项目(2008FJ3051) （2008FJ3051）
