A Remote Sensing Images Fusion Based on the NLEMD and Local Contrast

摘要：

A remote sensing images fusion algorithm based on the NLEMD (NLEMD, neighborhood limited empirical mode decomposition) and local contrast is presented in this paper. At first the original image is performed a multi-resolution decomposition by using NLEMD. Then a fusing algorithm is presented according to the truth that the human visual system is sensitive to the local contrast. During NLEMD, the local average stationarity is used to get the optimal local average of image, which is avoided extracting the extrema of image in the traditional EMD. The experiment results show that our algorithm can reflect more complex textures than the DWT method could. This algorithm can get better fused image.

关键词： empirical mode decomposition neighborhood limit local average stationarity image fusion intrinsic mode function

作者: Zejun Zhang Xiaowei Chen

作者单位: College of Computer Science and Information, Guizhou University, Guiyang 550025, China

会议类型: 国际会议

会议名称: 2009 International Forum on Computer Science-Technology and Applications(2009年国际计算机科学技术与应用论坛 IFCSTA 2009)

会议地点: 重庆

会议语种:英文

页码: 728-731

在线出版日期: 2009-12-25（万方平台首次上网日期，不代表论文的发表时间）