A New Fusion Method of Remote Sensing Images Based on Wavelet Transform

摘要：

This paper proposes a novel wavelet-based image fusion method that combines the selection and weighted average fusion rules for interpreting remote sensing images. When the local variance of source images is various greatly, the fusion coefficient of images is obtained by the selection rule, otherwise it will be acquired by the weighted average rule. The new fusion rule both preserves the source images detail and improves the algorithm stability. Experiment results demonstrate that the new fusion rule is effective.

关键词： image fusion wavelet transform remote sensing images image fusion rules

作者: ShashaWu Baojun Zhao Mingming Bian

作者单位: School of Information and Electronics Beijing Institute of Technology Beijing, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 552-555

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）