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

被引：0

作者：

Wu Shasha ^{[1
]}

Zhao Baojun ^{[1
]}

Bian Mingming ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China

来源：

PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3 | 2012年

关键词：

Image fusion; Wavelet transform; Remote sensing images; Image fusion rules;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

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.

引用

页码：829 / 832

页数：4

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